Imputation of a several variables (y's) by a regression model using a single explanatory variable (x).
ImputeRegressionMulti.RdImpute missing and wrong values (group 3) by the model based on representative data (group 1). Some data are considered correct but not representative (group 2). This grouping is common for all y-variables.
Usage
ImputeRegressionMulti(
data,
idName = names(data)[1],
strataName = NULL,
xName = names(data)[3],
yNames = names(data)[4:NCOL(data)],
ySelect = 1:length(yNames),
methodOneComp = "mean",
method = "ordinary",
limitModel = 2.5,
limitIterate = 4.5,
limitImpute = 50,
returnSameType = TRUE
)
ImputeRegressionMultiNewNames(...)
ImputeRegressionMultiTall(..., iD = TalliD())
ImputeRegressionMultiTallSmall(..., iD = TalliD(), keep = c("ID", "nImputed"))
ImputeRegressionMultiWide(
...,
addName = WideAddName(),
sep = WideSep(),
idNames = c("", "strata", ""),
addLast = FALSE
)
ImputeRegressionMultiWideSmall(
...,
keep = c("id", "strata", "nImputed"),
addName = WideAddName(),
sep = WideSep(),
idNames = c("", "strata", ""),
addLast = FALSE
)Arguments
- data
Input data set of class data.frame
- idName
Name of id-variable(s)
- strataName
Name of starta-variable. Single strata when NULL (default)
- xName
Name of x-variable
- yNames
Names of y-variables
- ySelect
Indices of yNames to extract a single component from
- methodOneComp
Method used to extract a single component coded as a string: "mean" (default),"pca","pcaMedian" or "pcaStd"
- method
The method (model and weight) coded as a string: "ordinary" (default), "ratio", "noconstant", "mean" or "ratioconstant".
- limitModel
Studentized residuals limit. Above limit -> group 2.
- limitIterate
Studentized residuals limit for iterative calculation of studentized residuals.
- limitImpute
Studentized residuals limit. Above limit -> group 3.
- returnSameType
When TRUE (default) and when the type of input y variables is integer, the output type of imputations and estimates from the final run is also integer. Those estimates/sums are then calculated from rounded imputed values.
Value
Output of the alternative variants of the function
(Tall, Wide, Small) are constructed similar
to the variants of ImputeRegression.
Output of ImputeRegressionMulti and ImputeRegressionMultiNewNames (using the names after
or below) is a list where the first three elements are ouput from the initial run with a single variable:
micro has as many rows as input, aggregates has one row for each strata
and total has a single row. The individual variables of these three elements are:
micro consists of the following elements:
- id
id from input
- x
The input x variable
- y
The input y variable
- strata
The input strata variable (can be NULL)
- category123
The three imputation groups: representative (1), correct but not representative (2), wrong (3).
- yHat or estimateYHat
Fitted values
- yImputed or estimate
Imputed y-data
- rStud
The final studentized residuals
- dffits
The final DFFITS statistic
- hii
The final leverages (diagonal elements of hat matrix)
- leaveOutResid
The final outside-model residual
aggregates consists of the following elements:
- N
Number of observations in each strata
- nImputed
Number of imputed observations in each strata
- estimate
Total estimates from imputed data
- cv
Coefficient of variation = seEstimate/estimate
- estimateYhat
Totale estimate based on model fits
- estimateOrig or y
Estimate based on original data with missing set to zero
- coef
The final first model coefficient
- coefB
The final second model coefficient or zeros when only one coefficient in model.
- n
The final number of observations in model.
- sigmaHat
The final square root of the estimated variance parameter
- seEstimate
The final standard error estimate of the total estimate from imputed data
- seRobust
Robust variant of seEstimate (experimental)
total consists of the following elements:
- Ntotal or N
Number of observations
- nImputedTotal or nImputed
Total number of imputed observations
- estimateTotal or estimate
Total estimate for all strata
- cvTotal or cv
Total cv for all strata
The other output elements are from the final run with all y-variables. These elements are:
- MyImputed
Matrix of imputed y-data
- Mestimate
Matrix of total estimates from imputed data
- Mcv
Matrix of coefficient of variation = seEstimate/estimate
- MestimateTotal
Matrix of total estimates for all strata (a single row)
- McvTotal
Matrix of total cvs for all strata (a single row)
Details
Multivariate imputations are performed by running an imputation model within each strata. Thus, the three groups (category123) are the same for all y-variables. Division into the three groups are based on studentized residuals from a inititial run with a single variable. Calculations of studentized residuals are performed by iterativily throwing out observations from the model fitting. The single initial variable can be a original variable (ySelect is a single number) or a component extracted according to methodOneComp.
Calculations of studentized residuals are performed by iterativily throwing out observations from the model fitting.
Missing x-values are not allowed in this version.
Examples
z=KostraData("ratioTest")
z2=cbind(id=10*(1:NROW(z)),z[,c(3,1,2)],y2=z$y+z$x)
ImputeRegressionMulti(z2,strataName="k",method="ratio")
#> $micro
#> id x y strata category123 yHat yImputed
#> 1 10 1.1 2.850000e+00 1 2 1.585714 2.850000
#> 2 20 2.2 4.200000e+00 1 1 3.171429 4.200000
#> 3 30 3.3 4.850000e+00 1 1 4.757143 4.850000
#> 4 40 4.4 5.900000e+00 1 1 6.342857 5.900000
#> 5 50 5.5 7.250000e+00 1 1 7.928571 7.250000
#> 6 60 1.0 1.700000e+00 2 2 1.506667 1.700000
#> 7 70 2.0 3.100000e+00 2 2 3.013333 3.100000
#> 8 80 3.0 NaN 2 3 4.520000 4.520000
#> 9 90 4.0 1.000200e+04 2 3 6.026667 6.026667
#> 10 100 5.0 1.025000e+02 2 3 7.533333 7.533333
#> 11 110 6.0 9.000000e+00 2 1 9.040000 9.000000
#> 12 120 7.0 1.050000e+01 2 1 10.546667 10.500000
#> 13 130 8.0 1.210000e+01 2 1 12.053333 12.100000
#> 14 140 9.0 1.360000e+01 2 1 13.560000 13.600000
#> 15 150 1.0 1.000001e+07 3 3 17.574941 17.574941
#> 16 160 2.0 1.000130e+05 3 3 35.149883 35.149883
#> 17 170 3.0 1.026187e+03 3 2 52.724824 1026.187456
#> 18 180 4.0 3.024773e+01 3 1 70.299765 30.247733
#> 19 190 5.0 4.664688e+01 3 1 87.874706 46.646877
#> 20 200 6.0 5.320195e+01 3 1 105.449648 53.201951
#> 21 210 7.0 7.664708e+01 3 1 123.024589 76.647084
#> 22 220 8.0 8.812607e+01 3 1 140.599530 88.126068
#> 23 230 9.0 1.247427e+02 3 1 158.174472 124.742675
#> 24 240 10.0 1.460798e+02 3 1 175.749413 146.079809
#> 25 250 11.0 1.604065e+02 3 1 193.324354 160.406505
#> 26 260 12.0 1.946235e+02 3 1 210.899296 194.623452
#> 27 270 13.0 2.258324e+02 3 1 228.474237 225.832365
#> 28 280 14.0 2.327846e+02 3 1 246.049178 232.784640
#> 29 290 15.0 2.683230e+02 3 1 263.624119 268.323022
#> 30 300 16.0 3.116370e+02 3 1 281.199061 311.636967
#> 31 310 17.0 3.334530e+02 3 1 298.774002 333.452994
#> 32 320 18.0 3.719252e+02 3 1 316.348943 371.925220
#> 33 330 19.0 4.298940e+02 3 1 333.923885 429.894028
#> 34 340 20.0 4.907166e+02 3 1 351.498826 490.716634
#> rStud dffits hii leaveOutResid
#> 1 2.578840e+00 NaN NaN 1.264286e+00
#> 2 4.701767e+00 1.91948820 0.14285714 1.200000e+00
#> 3 1.045493e-01 0.05459908 0.21428571 1.181818e-01
#> 4 -4.766223e-01 -0.30144244 0.28571429 -6.200000e-01
#> 5 -7.354349e-01 -0.54816081 0.35714286 -1.055556e+00
#> 6 1.027537e+01 NaN NaN 1.933333e-01
#> 7 3.205780e+00 NaN NaN 8.666667e-02
#> 8 NaN NaN NaN NaN
#> 9 2.536456e+05 NaN NaN 9.995973e+03
#> 10 2.124339e+03 NaN NaN 9.496667e+01
#> 11 -9.797959e-01 -0.48989795 0.20000000 -5.000000e-02
#> 12 -1.142302e+00 -0.63018219 0.23333333 -6.086957e-02
#> 13 1.063376e+00 0.64124006 0.26666667 6.363636e-02
#> 14 8.101915e-01 0.53039484 0.30000000 5.714286e-02
#> 15 6.349829e+05 NaN NaN 9.999992e+06
#> 16 4.478108e+03 NaN NaN 9.997787e+04
#> 17 3.551508e+01 NaN NaN 9.734626e+02
#> 18 -1.316592e+00 -0.18619420 0.01960784 -4.085307e+01
#> 19 -1.204942e+00 -0.19099612 0.02450980 -4.226370e+01
#> 20 -1.421424e+00 -0.24743821 0.02941176 -5.383096e+01
#> 21 -1.146549e+00 -0.21612666 0.03431373 -4.802544e+01
#> 22 -1.223326e+00 -0.24714921 0.03921569 -5.461524e+01
#> 23 -7.143491e-01 -0.15346680 0.04411765 -3.497480e+01
#> 24 -6.000489e-01 -0.13623408 0.04901961 -3.119896e+01
#> 25 -6.373587e-01 -0.15216038 0.05392157 -3.479400e+01
#> 26 -2.993787e-01 -0.07484467 0.05882353 -1.729308e+01
#> 27 -4.667453e-02 -0.01217685 0.06372549 -2.821686e+00
#> 28 -2.267877e-01 -0.06156116 0.06862745 -1.424193e+01
#> 29 7.770201e-02 0.02189006 0.07352941 5.071832e+00
#> 30 4.924745e-01 0.14366957 0.07843137 3.302837e+01
#> 31 5.468044e-01 0.16486772 0.08333333 3.783163e+01
#> 32 8.664143e-01 0.26952893 0.08823529 6.095463e+01
#> 33 1.532435e+00 0.49110335 0.09313725 1.058265e+02
#> 34 2.367853e+00 0.78065798 0.09803922 1.543502e+02
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 5 0 25.05 0.0000000 23.78571 25.05 1.441558
#> 2 2 9 3 68.08 0.1114356 67.80000 10154.50 1.506667
#> 3 3 20 2 4664.20 0.5876643 3690.73767 10104633.57 17.574941
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0 4 0.45158851 0.00000000 0.00000000
#> 2 0 4 0.01850926 0.07586538 0.08701263
#> 3 0 17 15.70998508 27.40983928 29.12493609
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 34 5 4757.33 0.5761623
#>
#> $MyImputed
#> y y2
#> [1,] 2.300000 3.400000
#> [2,] 3.100000 5.300000
#> [3,] 3.200000 6.500000
#> [4,] 3.700000 8.100000
#> [5,] 4.500000 10.000000
#> [6,] 1.200000 2.200000
#> [7,] 2.100000 4.100000
#> [8,] 3.020000 6.020000
#> [9,] 4.026667 8.026667
#> [10,] 5.033333 10.033333
#> [11,] 6.000000 12.000000
#> [12,] 7.000000 14.000000
#> [13,] 8.100000 16.100000
#> [14,] 9.100000 18.100000
#> [15,] 17.074941 18.074941
#> [16,] 34.149883 36.149883
#> [17,] 1024.687456 1027.687456
#> [18,] 28.247733 32.247733
#> [19,] 44.146877 49.146877
#> [20,] 50.201951 56.201951
#> [21,] 73.147084 80.147084
#> [22,] 84.126068 92.126068
#> [23,] 120.242675 129.242675
#> [24,] 141.079809 151.079809
#> [25,] 154.906505 165.906505
#> [26,] 188.623452 200.623452
#> [27,] 219.332365 232.332365
#> [28,] 225.784640 239.784640
#> [29,] 260.823022 275.823022
#> [30,] 303.636967 319.636967
#> [31,] 324.952994 341.952994
#> [32,] 362.925220 380.925220
#> [33,] 420.394028 439.394028
#> [34,] 480.716634 500.716634
#>
#> $Mestimate
#> y y2
#> [1,] 16.80 33.30
#> [2,] 45.58 90.58
#> [3,] 4559.20 4769.20
#>
#> $Mcv
#> y y2
#> [1,] 0.0000000 0.00000000
#> [2,] 0.1664444 0.08375511
#> [3,] 0.6011984 0.57472611
#>
#> $MestimateTotal
#> y y2
#> [1,] 4621.58 4893.08
#>
#> $McvTotal
#> y y2
#> [1,] 0.593086 0.5601777
#>
ImputeRegressionMultiNewNames(z2,strataName="k")
#> $micro
#> id x y strata category123 estimateYHat estimate
#> 1 10 1.1 2.850000e+00 1 1 2.9100000 2.850000
#> 2 20 2.2 4.200000e+00 1 1 3.9600000 4.200000
#> 3 30 3.3 4.850000e+00 1 1 5.0100000 4.850000
#> 4 40 4.4 5.900000e+00 1 1 6.0600000 5.900000
#> 5 50 5.5 7.250000e+00 1 1 7.1100000 7.250000
#> 6 60 1.0 1.700000e+00 2 1 1.6380062 1.700000
#> 7 70 2.0 3.100000e+00 2 1 3.1258567 3.100000
#> 8 80 3.0 NaN 2 3 4.6137072 4.613707
#> 9 90 4.0 1.000200e+04 2 3 6.1015576 6.101558
#> 10 100 5.0 1.025000e+02 2 3 7.5894081 7.589408
#> 11 110 6.0 9.000000e+00 2 1 9.0772586 9.000000
#> 12 120 7.0 1.050000e+01 2 1 10.5651090 10.500000
#> 13 130 8.0 1.210000e+01 2 1 12.0529595 12.100000
#> 14 140 9.0 1.360000e+01 2 1 13.5408100 13.600000
#> 15 150 1.0 1.000001e+07 3 3 -76.7488283 -76.748828
#> 16 160 2.0 1.000130e+05 3 3 -51.0193483 -51.019348
#> 17 170 3.0 1.026187e+03 3 2 -25.2898683 1026.187456
#> 18 180 4.0 3.024773e+01 3 1 0.4396117 30.247733
#> 19 190 5.0 4.664688e+01 3 1 26.1690917 46.646877
#> 20 200 6.0 5.320195e+01 3 1 51.8985717 53.201951
#> 21 210 7.0 7.664708e+01 3 1 77.6280518 76.647084
#> 22 220 8.0 8.812607e+01 3 1 103.3575318 88.126068
#> 23 230 9.0 1.247427e+02 3 1 129.0870118 124.742675
#> 24 240 10.0 1.460798e+02 3 1 154.8164918 146.079809
#> 25 250 11.0 1.604065e+02 3 1 180.5459718 160.406505
#> 26 260 12.0 1.946235e+02 3 1 206.2754518 194.623452
#> 27 270 13.0 2.258324e+02 3 1 232.0049319 225.832365
#> 28 280 14.0 2.327846e+02 3 1 257.7344119 232.784640
#> 29 290 15.0 2.683230e+02 3 1 283.4638919 268.323022
#> 30 300 16.0 3.116370e+02 3 1 309.1933719 311.636967
#> 31 310 17.0 3.334530e+02 3 1 334.9228519 333.452994
#> 32 320 18.0 3.719252e+02 3 1 360.6523319 371.925220
#> 33 330 19.0 4.298940e+02 3 1 386.3818120 429.894028
#> 34 340 20.0 4.907166e+02 3 2 412.1112920 490.716634
#> rStud dffits hii leaveOutResid
#> 1 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 2 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 3 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 4 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 5 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 6 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 7 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 8 NaN NaN NaN NaN
#> 9 1.272006e+05 NaN NaN 9.995898e+03
#> 10 1.226885e+03 NaN NaN 9.491059e+01
#> 11 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 12 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 13 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 14 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 15 4.450305e+05 NaN NaN 1.000009e+07
#> 16 4.550677e+03 NaN NaN 1.000640e+05
#> 17 4.880139e+01 NaN NaN 1.051477e+03
#> 18 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 19 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 20 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 21 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 22 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 23 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 24 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 25 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 26 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 27 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 28 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 29 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 30 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 31 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 32 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 33 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 34 3.648248e+00 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat y coef
#> 1 1 5 0 25.05000 0.0000000 25.05000 25.05 1.8600000
#> 2 2 9 3 68.30467 0.2311332 68.30467 10154.50 0.1501558
#> 3 3 20 2 4483.70730 0.7877689 3353.62464 10104633.57 -102.4783083
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0.9545455 5 0.20976177 0.0000000 0.0000000
#> 2 1.4878505 6 0.07147751 0.1578748 0.2157246
#> 3 25.7294800 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> N nImputed estimate cv
#> 1 34 5 4577.062 0.7717091
#>
#> $MyImputed
#> y y2
#> [1,] 2.300000 3.400000
#> [2,] 3.100000 5.300000
#> [3,] 3.200000 6.500000
#> [4,] 3.700000 8.100000
#> [5,] 4.500000 10.000000
#> [6,] 1.200000 2.200000
#> [7,] 2.100000 4.100000
#> [8,] 3.113707 6.113707
#> [9,] 4.101558 8.101558
#> [10,] 5.089408 10.089408
#> [11,] 6.000000 12.000000
#> [12,] 7.000000 14.000000
#> [13,] 8.100000 16.100000
#> [14,] 9.100000 18.100000
#> [15,] -77.248828 -76.248828
#> [16,] -52.019348 -50.019348
#> [17,] 1024.687456 1027.687456
#> [18,] 28.247733 32.247733
#> [19,] 44.146877 49.146877
#> [20,] 50.201951 56.201951
#> [21,] 73.147084 80.147084
#> [22,] 84.126068 92.126068
#> [23,] 120.242675 129.242675
#> [24,] 141.079809 151.079809
#> [25,] 154.906505 165.906505
#> [26,] 188.623452 200.623452
#> [27,] 219.332365 232.332365
#> [28,] 225.784640 239.784640
#> [29,] 260.823022 275.823022
#> [30,] 303.636967 319.636967
#> [31,] 324.952994 341.952994
#> [32,] 362.925220 380.925220
#> [33,] 420.394028 439.394028
#> [34,] 480.716634 500.716634
#>
#> $Mestimate
#> y y2
#> [1,] 16.80000 33.30000
#> [2,] 45.80467 90.80467
#> [3,] 4378.70730 4588.70730
#>
#> $Mcv
#> y y2
#> [1,] 0.0000000 0.000000
#> [2,] 0.3446696 0.173862
#> [3,] 0.8066594 0.769743
#>
#> $MestimateTotal
#> y y2
#> [1,] 4441.312 4712.812
#>
#> $McvTotal
#> y y2
#> [1,] 0.7952966 0.7494805
#>
ImputeRegressionMultiTall(z2,strataName="k")
#> ID id x y strata category123 estimateYHat estimate
#> 1 10 10 1.1 2.850000e+00 1 1 2.9100000 2.850000
#> 2 20 20 2.2 4.200000e+00 1 1 3.9600000 4.200000
#> 3 30 30 3.3 4.850000e+00 1 1 5.0100000 4.850000
#> 4 40 40 4.4 5.900000e+00 1 1 6.0600000 5.900000
#> 5 50 50 5.5 7.250000e+00 1 1 7.1100000 7.250000
#> 6 60 60 1.0 1.700000e+00 2 1 1.6380062 1.700000
#> 7 70 70 2.0 3.100000e+00 2 1 3.1258567 3.100000
#> 8 80 80 3.0 NaN 2 3 4.6137072 4.613707
#> 9 90 90 4.0 1.000200e+04 2 3 6.1015576 6.101558
#> 10 100 100 5.0 1.025000e+02 2 3 7.5894081 7.589408
#> 11 110 110 6.0 9.000000e+00 2 1 9.0772586 9.000000
#> 12 120 120 7.0 1.050000e+01 2 1 10.5651090 10.500000
#> 13 130 130 8.0 1.210000e+01 2 1 12.0529595 12.100000
#> 14 140 140 9.0 1.360000e+01 2 1 13.5408100 13.600000
#> 15 150 150 1.0 1.000001e+07 3 3 -76.7488283 -76.748828
#> 16 160 160 2.0 1.000130e+05 3 3 -51.0193483 -51.019348
#> 17 170 170 3.0 1.026187e+03 3 2 -25.2898683 1026.187456
#> 18 180 180 4.0 3.024773e+01 3 1 0.4396117 30.247733
#> 19 190 190 5.0 4.664688e+01 3 1 26.1690917 46.646877
#> 20 200 200 6.0 5.320195e+01 3 1 51.8985717 53.201951
#> 21 210 210 7.0 7.664708e+01 3 1 77.6280518 76.647084
#> 22 220 220 8.0 8.812607e+01 3 1 103.3575318 88.126068
#> 23 230 230 9.0 1.247427e+02 3 1 129.0870118 124.742675
#> 24 240 240 10.0 1.460798e+02 3 1 154.8164918 146.079809
#> 25 250 250 11.0 1.604065e+02 3 1 180.5459718 160.406505
#> 26 260 260 12.0 1.946235e+02 3 1 206.2754518 194.623452
#> 27 270 270 13.0 2.258324e+02 3 1 232.0049319 225.832365
#> 28 280 280 14.0 2.327846e+02 3 1 257.7344119 232.784640
#> 29 290 290 15.0 2.683230e+02 3 1 283.4638919 268.323022
#> 30 300 300 16.0 3.116370e+02 3 1 309.1933719 311.636967
#> 31 310 310 17.0 3.334530e+02 3 1 334.9228519 333.452994
#> 32 320 320 18.0 3.719252e+02 3 1 360.6523319 371.925220
#> 33 330 330 19.0 4.298940e+02 3 1 386.3818120 429.894028
#> 34 340 340 20.0 4.907166e+02 3 2 412.1112920 490.716634
#> 35 1 NA NA 2.505000e+01 1 NA 25.0500000 25.050000
#> 36 2 NA NA 1.015450e+04 2 NA 68.3046729 68.304673
#> 37 3 NA NA 1.010463e+07 3 NA 3353.6246364 4483.707303
#> 38 Total NA NA NA NA NA NA 4577.061976
#> rStud dffits hii leaveOutResid N nImputed Mestimate_y
#> 1 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01 1 0 2.300000
#> 2 1.819435e+00 1.19110000 0.30000000 3.428571e-01 1 0 3.100000
#> 3 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01 1 0 3.200000
#> 4 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01 1 0 3.700000
#> 5 1.086611e+00 1.33082093 0.60000000 3.500000e-01 1 0 4.500000
#> 6 1.454260e+00 1.59215285 0.54517134 1.363014e-01 1 0 1.200000
#> 7 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02 1 0 2.100000
#> 8 NaN NaN NaN NaN 1 1 3.113707
#> 9 1.272006e+05 NaN NaN 9.995898e+03 1 1 4.101558
#> 10 1.226885e+03 NaN NaN 9.491059e+01 1 1 5.089408
#> 11 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02 1 0 6.000000
#> 12 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02 1 0 7.000000
#> 13 7.308001e-01 0.45967977 0.28348910 6.565217e-02 1 0 8.100000
#> 14 1.089940e+00 0.88186791 0.39563863 9.793814e-02 1 0 9.100000
#> 15 4.450305e+05 NaN NaN 1.000009e+07 1 1 -77.248828
#> 16 4.550677e+03 NaN NaN 1.000640e+05 1 1 -52.019348
#> 17 4.880139e+01 NaN NaN 1.051477e+03 1 0 1024.687456
#> 18 1.947015e+00 1.05792675 0.22794118 3.860861e+01 1 0 28.247733
#> 19 1.209562e+00 0.57965202 0.18676471 2.518064e+01 1 0 44.146877
#> 20 7.146901e-02 0.03019593 0.15147059 1.536045e+00 1 0 50.201951
#> 21 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00 1 0 73.147084
#> 22 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01 1 0 84.126068
#> 23 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00 1 0 120.242675
#> 24 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00 1 0 141.079809
#> 25 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01 1 0 154.906505
#> 26 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01 1 0 188.623452
#> 27 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00 1 0 219.332365
#> 28 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01 1 0 225.784640
#> 29 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01 1 0 260.823022
#> 30 1.317897e-01 0.04913980 0.12205882 2.783324e+00 1 0 303.636967
#> 31 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00 1 0 324.952994
#> 32 6.411844e-01 0.30727148 0.18676471 1.386178e+01 1 0 362.925220
#> 33 3.471615e+00 1.88633042 0.22794118 5.635868e+01 1 0 420.394028
#> 34 3.648248e+00 NaN NaN 7.860534e+01 1 0 480.716634
#> 35 NA NA NA NA 5 0 16.800000
#> 36 NA NA NA NA 9 3 45.804673
#> 37 NA NA NA NA 20 2 4378.707303
#> 38 NA NA NA NA 34 5 4441.311976
#> Mestimate_y2 cv coef coefB nModel sigmaHat seEstimate
#> 1 3.400000 NA NA NA NA NA NA
#> 2 5.300000 NA NA NA NA NA NA
#> 3 6.500000 NA NA NA NA NA NA
#> 4 8.100000 NA NA NA NA NA NA
#> 5 10.000000 NA NA NA NA NA NA
#> 6 2.200000 NA NA NA NA NA NA
#> 7 4.100000 NA NA NA NA NA NA
#> 8 6.113707 NA NA NA NA NA NA
#> 9 8.101558 NA NA NA NA NA NA
#> 10 10.089408 NA NA NA NA NA NA
#> 11 12.000000 NA NA NA NA NA NA
#> 12 14.000000 NA NA NA NA NA NA
#> 13 16.100000 NA NA NA NA NA NA
#> 14 18.100000 NA NA NA NA NA NA
#> 15 -76.248828 NA NA NA NA NA NA
#> 16 -50.019348 NA NA NA NA NA NA
#> 17 1027.687456 NA NA NA NA NA NA
#> 18 32.247733 NA NA NA NA NA NA
#> 19 49.146877 NA NA NA NA NA NA
#> 20 56.201951 NA NA NA NA NA NA
#> 21 80.147084 NA NA NA NA NA NA
#> 22 92.126068 NA NA NA NA NA NA
#> 23 129.242675 NA NA NA NA NA NA
#> 24 151.079809 NA NA NA NA NA NA
#> 25 165.906505 NA NA NA NA NA NA
#> 26 200.623452 NA NA NA NA NA NA
#> 27 232.332365 NA NA NA NA NA NA
#> 28 239.784640 NA NA NA NA NA NA
#> 29 275.823022 NA NA NA NA NA NA
#> 30 319.636967 NA NA NA NA NA NA
#> 31 341.952994 NA NA NA NA NA NA
#> 32 380.925220 NA NA NA NA NA NA
#> 33 439.394028 NA NA NA NA NA NA
#> 34 500.716634 NA NA NA NA NA NA
#> 35 33.300000 0.0000000 1.8600000 0.9545455 5 0.20976177 0.0000000
#> 36 90.804673 0.2311332 0.1501558 1.4878505 6 0.07147751 0.1578748
#> 37 4588.707303 0.7877689 -102.4783083 25.7294800 16 19.08150320 35.3212520
#> 38 4712.811976 0.7717091 NA NA NA NA NA
#> seRobust Mcv_y Mcv_y2
#> 1 NA NA NA
#> 2 NA NA NA
#> 3 NA NA NA
#> 4 NA NA NA
#> 5 NA NA NA
#> 6 NA NA NA
#> 7 NA NA NA
#> 8 NA NA NA
#> 9 NA NA NA
#> 10 NA NA NA
#> 11 NA NA NA
#> 12 NA NA NA
#> 13 NA NA NA
#> 14 NA NA NA
#> 15 NA NA NA
#> 16 NA NA NA
#> 17 NA NA NA
#> 18 NA NA NA
#> 19 NA NA NA
#> 20 NA NA NA
#> 21 NA NA NA
#> 22 NA NA NA
#> 23 NA NA NA
#> 24 NA NA NA
#> 25 NA NA NA
#> 26 NA NA NA
#> 27 NA NA NA
#> 28 NA NA NA
#> 29 NA NA NA
#> 30 NA NA NA
#> 31 NA NA NA
#> 32 NA NA NA
#> 33 NA NA NA
#> 34 NA NA NA
#> 35 0.0000000 0.0000000 0.0000000
#> 36 0.2157246 0.3446696 0.1738620
#> 37 43.9950765 0.8066594 0.7697430
#> 38 NA 0.7952966 0.7494805
ImputeRegressionMultiTallSmall(z2,strataName="k")
#> ID nImputed y y2 cv_y cv_y2
#> 1 10 0 2.300000 3.400000 NA NA
#> 2 20 0 3.100000 5.300000 NA NA
#> 3 30 0 3.200000 6.500000 NA NA
#> 4 40 0 3.700000 8.100000 NA NA
#> 5 50 0 4.500000 10.000000 NA NA
#> 6 60 0 1.200000 2.200000 NA NA
#> 7 70 0 2.100000 4.100000 NA NA
#> 8 80 1 3.113707 6.113707 NA NA
#> 9 90 1 4.101558 8.101558 NA NA
#> 10 100 1 5.089408 10.089408 NA NA
#> 11 110 0 6.000000 12.000000 NA NA
#> 12 120 0 7.000000 14.000000 NA NA
#> 13 130 0 8.100000 16.100000 NA NA
#> 14 140 0 9.100000 18.100000 NA NA
#> 15 150 1 -77.248828 -76.248828 NA NA
#> 16 160 1 -52.019348 -50.019348 NA NA
#> 17 170 0 1024.687456 1027.687456 NA NA
#> 18 180 0 28.247733 32.247733 NA NA
#> 19 190 0 44.146877 49.146877 NA NA
#> 20 200 0 50.201951 56.201951 NA NA
#> 21 210 0 73.147084 80.147084 NA NA
#> 22 220 0 84.126068 92.126068 NA NA
#> 23 230 0 120.242675 129.242675 NA NA
#> 24 240 0 141.079809 151.079809 NA NA
#> 25 250 0 154.906505 165.906505 NA NA
#> 26 260 0 188.623452 200.623452 NA NA
#> 27 270 0 219.332365 232.332365 NA NA
#> 28 280 0 225.784640 239.784640 NA NA
#> 29 290 0 260.823022 275.823022 NA NA
#> 30 300 0 303.636967 319.636967 NA NA
#> 31 310 0 324.952994 341.952994 NA NA
#> 32 320 0 362.925220 380.925220 NA NA
#> 33 330 0 420.394028 439.394028 NA NA
#> 34 340 0 480.716634 500.716634 NA NA
#> 35 1 0 16.800000 33.300000 0.0000000 0.0000000
#> 36 2 3 45.804673 90.804673 0.3446696 0.1738620
#> 37 3 2 4378.707303 4588.707303 0.8066594 0.7697430
#> 38 Total 5 4441.311976 4712.811976 0.7952966 0.7494805
ImputeRegressionMultiWide(z2,strataName="k")
#> id x y strata category123 estimateYHat estimate
#> 1 10 1.1 2.850000e+00 1 1 2.9100000 2.850000
#> 2 20 2.2 4.200000e+00 1 1 3.9600000 4.200000
#> 3 30 3.3 4.850000e+00 1 1 5.0100000 4.850000
#> 4 40 4.4 5.900000e+00 1 1 6.0600000 5.900000
#> 5 50 5.5 7.250000e+00 1 1 7.1100000 7.250000
#> 6 60 1.0 1.700000e+00 2 1 1.6380062 1.700000
#> 7 70 2.0 3.100000e+00 2 1 3.1258567 3.100000
#> 8 80 3.0 NaN 2 3 4.6137072 4.613707
#> 9 90 4.0 1.000200e+04 2 3 6.1015576 6.101558
#> 10 100 5.0 1.025000e+02 2 3 7.5894081 7.589408
#> 11 110 6.0 9.000000e+00 2 1 9.0772586 9.000000
#> 12 120 7.0 1.050000e+01 2 1 10.5651090 10.500000
#> 13 130 8.0 1.210000e+01 2 1 12.0529595 12.100000
#> 14 140 9.0 1.360000e+01 2 1 13.5408100 13.600000
#> 15 150 1.0 1.000001e+07 3 3 -76.7488283 -76.748828
#> 16 160 2.0 1.000130e+05 3 3 -51.0193483 -51.019348
#> 17 170 3.0 1.026187e+03 3 2 -25.2898683 1026.187456
#> 18 180 4.0 3.024773e+01 3 1 0.4396117 30.247733
#> 19 190 5.0 4.664688e+01 3 1 26.1690917 46.646877
#> 20 200 6.0 5.320195e+01 3 1 51.8985717 53.201951
#> 21 210 7.0 7.664708e+01 3 1 77.6280518 76.647084
#> 22 220 8.0 8.812607e+01 3 1 103.3575318 88.126068
#> 23 230 9.0 1.247427e+02 3 1 129.0870118 124.742675
#> 24 240 10.0 1.460798e+02 3 1 154.8164918 146.079809
#> 25 250 11.0 1.604065e+02 3 1 180.5459718 160.406505
#> 26 260 12.0 1.946235e+02 3 1 206.2754518 194.623452
#> 27 270 13.0 2.258324e+02 3 1 232.0049319 225.832365
#> 28 280 14.0 2.327846e+02 3 1 257.7344119 232.784640
#> 29 290 15.0 2.683230e+02 3 1 283.4638919 268.323022
#> 30 300 16.0 3.116370e+02 3 1 309.1933719 311.636967
#> 31 310 17.0 3.334530e+02 3 1 334.9228519 333.452994
#> 32 320 18.0 3.719252e+02 3 1 360.6523319 371.925220
#> 33 330 19.0 4.298940e+02 3 1 386.3818120 429.894028
#> 34 340 20.0 4.907166e+02 3 2 412.1112920 490.716634
#> rStud dffits hii leaveOutResid Mestimate_y Mestimate_y2
#> 1 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01 2.300000 3.400000
#> 2 1.819435e+00 1.19110000 0.30000000 3.428571e-01 3.100000 5.300000
#> 3 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01 3.200000 6.500000
#> 4 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01 3.700000 8.100000
#> 5 1.086611e+00 1.33082093 0.60000000 3.500000e-01 4.500000 10.000000
#> 6 1.454260e+00 1.59215285 0.54517134 1.363014e-01 1.200000 2.200000
#> 7 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02 2.100000 4.100000
#> 8 NaN NaN NaN NaN 3.113707 6.113707
#> 9 1.272006e+05 NaN NaN 9.995898e+03 4.101558 8.101558
#> 10 1.226885e+03 NaN NaN 9.491059e+01 5.089408 10.089408
#> 11 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02 6.000000 12.000000
#> 12 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02 7.000000 14.000000
#> 13 7.308001e-01 0.45967977 0.28348910 6.565217e-02 8.100000 16.100000
#> 14 1.089940e+00 0.88186791 0.39563863 9.793814e-02 9.100000 18.100000
#> 15 4.450305e+05 NaN NaN 1.000009e+07 -77.248828 -76.248828
#> 16 4.550677e+03 NaN NaN 1.000640e+05 -52.019348 -50.019348
#> 17 4.880139e+01 NaN NaN 1.051477e+03 1024.687456 1027.687456
#> 18 1.947015e+00 1.05792675 0.22794118 3.860861e+01 28.247733 32.247733
#> 19 1.209562e+00 0.57965202 0.18676471 2.518064e+01 44.146877 49.146877
#> 20 7.146901e-02 0.03019593 0.15147059 1.536045e+00 50.201951 56.201951
#> 21 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00 73.147084 80.147084
#> 22 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01 84.126068 92.126068
#> 23 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00 120.242675 129.242675
#> 24 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00 141.079809 151.079809
#> 25 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01 154.906505 165.906505
#> 26 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01 188.623452 200.623452
#> 27 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00 219.332365 232.332365
#> 28 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01 225.784640 239.784640
#> 29 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01 260.823022 275.823022
#> 30 1.317897e-01 0.04913980 0.12205882 2.783324e+00 303.636967 319.636967
#> 31 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00 324.952994 341.952994
#> 32 6.411844e-01 0.30727148 0.18676471 1.386178e+01 362.925220 380.925220
#> 33 3.471615e+00 1.88633042 0.22794118 5.635868e+01 420.394028 439.394028
#> 34 3.648248e+00 NaN NaN 7.860534e+01 480.716634 500.716634
#> Strata_N Strata_nImputed Strata_estimate Strata_cv Strata_estimateYHat
#> 1 5 0 25.05000 0.0000000 25.05000
#> 2 5 0 25.05000 0.0000000 25.05000
#> 3 5 0 25.05000 0.0000000 25.05000
#> 4 5 0 25.05000 0.0000000 25.05000
#> 5 5 0 25.05000 0.0000000 25.05000
#> 6 9 3 68.30467 0.2311332 68.30467
#> 7 9 3 68.30467 0.2311332 68.30467
#> 8 9 3 68.30467 0.2311332 68.30467
#> 9 9 3 68.30467 0.2311332 68.30467
#> 10 9 3 68.30467 0.2311332 68.30467
#> 11 9 3 68.30467 0.2311332 68.30467
#> 12 9 3 68.30467 0.2311332 68.30467
#> 13 9 3 68.30467 0.2311332 68.30467
#> 14 9 3 68.30467 0.2311332 68.30467
#> 15 20 2 4483.70730 0.7877689 3353.62464
#> 16 20 2 4483.70730 0.7877689 3353.62464
#> 17 20 2 4483.70730 0.7877689 3353.62464
#> 18 20 2 4483.70730 0.7877689 3353.62464
#> 19 20 2 4483.70730 0.7877689 3353.62464
#> 20 20 2 4483.70730 0.7877689 3353.62464
#> 21 20 2 4483.70730 0.7877689 3353.62464
#> 22 20 2 4483.70730 0.7877689 3353.62464
#> 23 20 2 4483.70730 0.7877689 3353.62464
#> 24 20 2 4483.70730 0.7877689 3353.62464
#> 25 20 2 4483.70730 0.7877689 3353.62464
#> 26 20 2 4483.70730 0.7877689 3353.62464
#> 27 20 2 4483.70730 0.7877689 3353.62464
#> 28 20 2 4483.70730 0.7877689 3353.62464
#> 29 20 2 4483.70730 0.7877689 3353.62464
#> 30 20 2 4483.70730 0.7877689 3353.62464
#> 31 20 2 4483.70730 0.7877689 3353.62464
#> 32 20 2 4483.70730 0.7877689 3353.62464
#> 33 20 2 4483.70730 0.7877689 3353.62464
#> 34 20 2 4483.70730 0.7877689 3353.62464
#> Strata_y Strata_coef Strata_coefB Strata_nModel Strata_sigmaHat
#> 1 25.05 1.8600000 0.9545455 5 0.20976177
#> 2 25.05 1.8600000 0.9545455 5 0.20976177
#> 3 25.05 1.8600000 0.9545455 5 0.20976177
#> 4 25.05 1.8600000 0.9545455 5 0.20976177
#> 5 25.05 1.8600000 0.9545455 5 0.20976177
#> 6 10154.50 0.1501558 1.4878505 6 0.07147751
#> 7 10154.50 0.1501558 1.4878505 6 0.07147751
#> 8 10154.50 0.1501558 1.4878505 6 0.07147751
#> 9 10154.50 0.1501558 1.4878505 6 0.07147751
#> 10 10154.50 0.1501558 1.4878505 6 0.07147751
#> 11 10154.50 0.1501558 1.4878505 6 0.07147751
#> 12 10154.50 0.1501558 1.4878505 6 0.07147751
#> 13 10154.50 0.1501558 1.4878505 6 0.07147751
#> 14 10154.50 0.1501558 1.4878505 6 0.07147751
#> 15 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 16 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 17 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 18 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 19 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 20 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 21 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 22 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 23 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 24 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 25 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 26 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 27 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 28 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 29 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 30 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 31 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 32 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 33 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> 34 10104633.57 -102.4783083 25.7294800 16 19.08150320
#> Strata_seEstimate Strata_seRobust Strata_Mestimate_y Strata_Mestimate_y2
#> 1 0.0000000 0.0000000 16.80000 33.30000
#> 2 0.0000000 0.0000000 16.80000 33.30000
#> 3 0.0000000 0.0000000 16.80000 33.30000
#> 4 0.0000000 0.0000000 16.80000 33.30000
#> 5 0.0000000 0.0000000 16.80000 33.30000
#> 6 0.1578748 0.2157246 45.80467 90.80467
#> 7 0.1578748 0.2157246 45.80467 90.80467
#> 8 0.1578748 0.2157246 45.80467 90.80467
#> 9 0.1578748 0.2157246 45.80467 90.80467
#> 10 0.1578748 0.2157246 45.80467 90.80467
#> 11 0.1578748 0.2157246 45.80467 90.80467
#> 12 0.1578748 0.2157246 45.80467 90.80467
#> 13 0.1578748 0.2157246 45.80467 90.80467
#> 14 0.1578748 0.2157246 45.80467 90.80467
#> 15 35.3212520 43.9950765 4378.70730 4588.70730
#> 16 35.3212520 43.9950765 4378.70730 4588.70730
#> 17 35.3212520 43.9950765 4378.70730 4588.70730
#> 18 35.3212520 43.9950765 4378.70730 4588.70730
#> 19 35.3212520 43.9950765 4378.70730 4588.70730
#> 20 35.3212520 43.9950765 4378.70730 4588.70730
#> 21 35.3212520 43.9950765 4378.70730 4588.70730
#> 22 35.3212520 43.9950765 4378.70730 4588.70730
#> 23 35.3212520 43.9950765 4378.70730 4588.70730
#> 24 35.3212520 43.9950765 4378.70730 4588.70730
#> 25 35.3212520 43.9950765 4378.70730 4588.70730
#> 26 35.3212520 43.9950765 4378.70730 4588.70730
#> 27 35.3212520 43.9950765 4378.70730 4588.70730
#> 28 35.3212520 43.9950765 4378.70730 4588.70730
#> 29 35.3212520 43.9950765 4378.70730 4588.70730
#> 30 35.3212520 43.9950765 4378.70730 4588.70730
#> 31 35.3212520 43.9950765 4378.70730 4588.70730
#> 32 35.3212520 43.9950765 4378.70730 4588.70730
#> 33 35.3212520 43.9950765 4378.70730 4588.70730
#> 34 35.3212520 43.9950765 4378.70730 4588.70730
#> Strata_Mcv_y Strata_Mcv_y2 Total_N Total_nImputed Total_estimate Total_cv
#> 1 0.0000000 0.000000 34 5 4577.062 0.7717091
#> 2 0.0000000 0.000000 34 5 4577.062 0.7717091
#> 3 0.0000000 0.000000 34 5 4577.062 0.7717091
#> 4 0.0000000 0.000000 34 5 4577.062 0.7717091
#> 5 0.0000000 0.000000 34 5 4577.062 0.7717091
#> 6 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 7 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 8 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 9 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 10 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 11 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 12 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 13 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 14 0.3446696 0.173862 34 5 4577.062 0.7717091
#> 15 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 16 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 17 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 18 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 19 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 20 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 21 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 22 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 23 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 24 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 25 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 26 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 27 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 28 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 29 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 30 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 31 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 32 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 33 0.8066594 0.769743 34 5 4577.062 0.7717091
#> 34 0.8066594 0.769743 34 5 4577.062 0.7717091
#> Total_Mestimate_y Total_Mestimate_y2 Total_Mcv_y Total_Mcv_y2
#> 1 4441.312 4712.812 0.7952966 0.7494805
#> 2 4441.312 4712.812 0.7952966 0.7494805
#> 3 4441.312 4712.812 0.7952966 0.7494805
#> 4 4441.312 4712.812 0.7952966 0.7494805
#> 5 4441.312 4712.812 0.7952966 0.7494805
#> 6 4441.312 4712.812 0.7952966 0.7494805
#> 7 4441.312 4712.812 0.7952966 0.7494805
#> 8 4441.312 4712.812 0.7952966 0.7494805
#> 9 4441.312 4712.812 0.7952966 0.7494805
#> 10 4441.312 4712.812 0.7952966 0.7494805
#> 11 4441.312 4712.812 0.7952966 0.7494805
#> 12 4441.312 4712.812 0.7952966 0.7494805
#> 13 4441.312 4712.812 0.7952966 0.7494805
#> 14 4441.312 4712.812 0.7952966 0.7494805
#> 15 4441.312 4712.812 0.7952966 0.7494805
#> 16 4441.312 4712.812 0.7952966 0.7494805
#> 17 4441.312 4712.812 0.7952966 0.7494805
#> 18 4441.312 4712.812 0.7952966 0.7494805
#> 19 4441.312 4712.812 0.7952966 0.7494805
#> 20 4441.312 4712.812 0.7952966 0.7494805
#> 21 4441.312 4712.812 0.7952966 0.7494805
#> 22 4441.312 4712.812 0.7952966 0.7494805
#> 23 4441.312 4712.812 0.7952966 0.7494805
#> 24 4441.312 4712.812 0.7952966 0.7494805
#> 25 4441.312 4712.812 0.7952966 0.7494805
#> 26 4441.312 4712.812 0.7952966 0.7494805
#> 27 4441.312 4712.812 0.7952966 0.7494805
#> 28 4441.312 4712.812 0.7952966 0.7494805
#> 29 4441.312 4712.812 0.7952966 0.7494805
#> 30 4441.312 4712.812 0.7952966 0.7494805
#> 31 4441.312 4712.812 0.7952966 0.7494805
#> 32 4441.312 4712.812 0.7952966 0.7494805
#> 33 4441.312 4712.812 0.7952966 0.7494805
#> 34 4441.312 4712.812 0.7952966 0.7494805
ImputeRegressionMultiWideSmall(z2,strataName="k")
#> id strata y y2 Strata_nImputed Strata_y Strata_y2
#> 1 10 1 2.300000 3.400000 0 16.80000 33.30000
#> 2 20 1 3.100000 5.300000 0 16.80000 33.30000
#> 3 30 1 3.200000 6.500000 0 16.80000 33.30000
#> 4 40 1 3.700000 8.100000 0 16.80000 33.30000
#> 5 50 1 4.500000 10.000000 0 16.80000 33.30000
#> 6 60 2 1.200000 2.200000 3 45.80467 90.80467
#> 7 70 2 2.100000 4.100000 3 45.80467 90.80467
#> 8 80 2 3.113707 6.113707 3 45.80467 90.80467
#> 9 90 2 4.101558 8.101558 3 45.80467 90.80467
#> 10 100 2 5.089408 10.089408 3 45.80467 90.80467
#> 11 110 2 6.000000 12.000000 3 45.80467 90.80467
#> 12 120 2 7.000000 14.000000 3 45.80467 90.80467
#> 13 130 2 8.100000 16.100000 3 45.80467 90.80467
#> 14 140 2 9.100000 18.100000 3 45.80467 90.80467
#> 15 150 3 -77.248828 -76.248828 2 4378.70730 4588.70730
#> 16 160 3 -52.019348 -50.019348 2 4378.70730 4588.70730
#> 17 170 3 1024.687456 1027.687456 2 4378.70730 4588.70730
#> 18 180 3 28.247733 32.247733 2 4378.70730 4588.70730
#> 19 190 3 44.146877 49.146877 2 4378.70730 4588.70730
#> 20 200 3 50.201951 56.201951 2 4378.70730 4588.70730
#> 21 210 3 73.147084 80.147084 2 4378.70730 4588.70730
#> 22 220 3 84.126068 92.126068 2 4378.70730 4588.70730
#> 23 230 3 120.242675 129.242675 2 4378.70730 4588.70730
#> 24 240 3 141.079809 151.079809 2 4378.70730 4588.70730
#> 25 250 3 154.906505 165.906505 2 4378.70730 4588.70730
#> 26 260 3 188.623452 200.623452 2 4378.70730 4588.70730
#> 27 270 3 219.332365 232.332365 2 4378.70730 4588.70730
#> 28 280 3 225.784640 239.784640 2 4378.70730 4588.70730
#> 29 290 3 260.823022 275.823022 2 4378.70730 4588.70730
#> 30 300 3 303.636967 319.636967 2 4378.70730 4588.70730
#> 31 310 3 324.952994 341.952994 2 4378.70730 4588.70730
#> 32 320 3 362.925220 380.925220 2 4378.70730 4588.70730
#> 33 330 3 420.394028 439.394028 2 4378.70730 4588.70730
#> 34 340 3 480.716634 500.716634 2 4378.70730 4588.70730
#> Strata_cv_y Strata_cv_y2 Total_nImputed Total_y Total_y2 Total_cv_y
#> 1 0.0000000 0.000000 5 4441.312 4712.812 0.7952966
#> 2 0.0000000 0.000000 5 4441.312 4712.812 0.7952966
#> 3 0.0000000 0.000000 5 4441.312 4712.812 0.7952966
#> 4 0.0000000 0.000000 5 4441.312 4712.812 0.7952966
#> 5 0.0000000 0.000000 5 4441.312 4712.812 0.7952966
#> 6 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 7 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 8 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 9 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 10 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 11 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 12 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 13 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 14 0.3446696 0.173862 5 4441.312 4712.812 0.7952966
#> 15 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 16 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 17 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 18 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 19 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 20 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 21 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 22 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 23 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 24 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 25 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 26 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 27 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 28 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 29 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 30 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 31 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 32 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 33 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> 34 0.8066594 0.769743 5 4441.312 4712.812 0.7952966
#> Total_cv_y2
#> 1 0.7494805
#> 2 0.7494805
#> 3 0.7494805
#> 4 0.7494805
#> 5 0.7494805
#> 6 0.7494805
#> 7 0.7494805
#> 8 0.7494805
#> 9 0.7494805
#> 10 0.7494805
#> 11 0.7494805
#> 12 0.7494805
#> 13 0.7494805
#> 14 0.7494805
#> 15 0.7494805
#> 16 0.7494805
#> 17 0.7494805
#> 18 0.7494805
#> 19 0.7494805
#> 20 0.7494805
#> 21 0.7494805
#> 22 0.7494805
#> 23 0.7494805
#> 24 0.7494805
#> 25 0.7494805
#> 26 0.7494805
#> 27 0.7494805
#> 28 0.7494805
#> 29 0.7494805
#> 30 0.7494805
#> 31 0.7494805
#> 32 0.7494805
#> 33 0.7494805
#> 34 0.7494805
rateData <- KostraData("rateData") # Real Kostra data set
w <- rateData$data[, c(17,19,16,5:10)] # Data with id, strata, x and many ys
w <- w[is.finite(w[,"Ny.kostragruppe"]), ] # Remove Longyearbyen
w[w[,"Ny.kostragruppe"]>13,"Ny.kostragruppe"]=13 # Combine small strata
ImputeRegressionMulti(w, strataName = names(w)[2])
#> $micro
#> id x y strata category123 yHat yImputed
#> 1 101 30544 1.351167e+03 13 1 8579.289304 1351.166667
#> 2 104 32182 5.184333e+03 13 1 9129.391572 5184.333333
#> 3 105 54678 1.782583e+04 13 1 16684.398057 17825.833333
#> 4 106 78967 3.720733e+04 13 1 24841.561664 37207.333333
#> 5 111 4511 1.121833e+03 3 1 1114.624139 1121.833333
#> 6 118 1404 3.500000e+02 5 1 281.903183 350.000000
#> 7 119 3610 5.850000e+02 1 1 487.362786 585.000000
#> 8 121 672 1.816667e+01 4 1 65.332752 18.166667
#> 9 122 5343 1.461000e+03 10 1 742.354400 1461.000000
#> 10 123 5736 9.746667e+02 11 1 1122.199951 974.666667
#> 11 124 15615 2.914333e+03 8 1 4512.063005 2914.333333
#> 12 125 11396 4.465333e+03 10 1 2210.500615 4465.333333
#> 13 127 3742 0.000000e+00 2 1 510.998395 0.000000
#> 14 128 8084 1.005500e+03 11 1 1772.172737 1005.500000
#> 15 135 7357 5.783333e+02 7 1 762.365518 578.333333
#> 16 136 15458 2.321000e+03 7 1 2289.088006 2321.000000
#> 17 137 5186 6.833333e+01 1 1 549.337560 68.333333
#> 18 138 5382 2.938333e+02 1 1 557.045083 293.833333
#> 19 211 16732 4.457667e+03 7 1 2529.187308 4457.666667
#> 20 213 30261 9.276167e+03 13 1 8484.247215 9276.166667
#> 21 214 18992 4.669667e+03 7 1 2955.109148 4669.666667
#> 22 215 15695 1.700450e+04 8 2 4546.799875 17004.500000
#> 23 216 18623 5.191167e+03 7 1 2885.567042 5191.166667
#> 24 217 26792 5.536667e+03 13 1 7319.225989 5536.666667
#> 25 219 122348 3.547133e+04 13 1 39410.539985 35471.333333
#> 26 220 60106 3.548033e+04 13 2 18507.325475 35480.333333
#> 27 221 15914 2.991667e+02 7 1 2375.026218 299.166667
#> 28 226 17443 1.548833e+03 7 1 2663.183073 1548.833333
#> 29 227 11374 5.313333e+02 7 1 1519.413319 531.333333
#> 30 228 17426 4.609500e+03 7 1 2659.979236 4609.500000
#> 31 229 10870 1.148667e+03 7 1 1424.428979 1148.666667
#> 32 230 36368 1.255867e+04 13 1 10535.208479 12558.666667
#> 33 231 52522 2.294433e+04 13 1 15960.331823 22944.333333
#> 34 233 22857 4.150167e+03 13 1 5997.704362 4150.166667
#> 35 234 6323 1.333333e+02 7 1 567.496853 133.333333
#> 36 235 34189 1.073117e+04 13 1 9803.417977 10731.166667
#> 37 236 20783 5.450000e+01 7 1 3292.642783 54.500000
#> 38 237 23811 5.722000e+03 13 1 6318.093595 5722.000000
#> 39 238 12267 1.796833e+03 7 1 1687.708983 1796.833333
#> 40 239 2837 4.881667e+02 2 1 417.003820 488.166667
#> 41 301 658390 2.199700e+05 13 1 219433.690152 219970.000000
#> 42 402 17835 4.593833e+03 8 1 5476.011149 4593.833333
#> 43 403 30120 2.236483e+04 13 1 8436.894089 22364.833333
#> 44 412 33597 3.106000e+03 13 1 9604.602017 3106.000000
#> 45 415 7588 1.413833e+03 7 1 805.900007 1413.833333
#> 46 417 20119 1.058217e+04 10 2 4326.251389 10582.166667
#> 47 418 5131 1.055500e+03 10 1 690.934113 1055.500000
#> 48 419 7901 1.193167e+03 7 1 864.888297 1193.166667
#> 49 420 6142 6.005000e+02 11 1 1234.588772 600.500000
#> 50 423 4763 6.295000e+02 2 1 617.040894 629.500000
#> 51 425 7456 7.113333e+02 11 1 1598.329930 711.333333
#> 52 426 3760 NaN 2 3 512.867901 512.867901
#> 53 427 21030 3.082000e+03 13 1 5384.128755 3082.000000
#> 54 428 6525 4.833333e+00 11 1 1340.610738 4.833333
#> 55 429 4429 0.000000e+00 2 1 582.351183 0.000000
#> 56 430 2600 1.411667e+02 2 1 392.388667 141.166667
#> 57 432 1881 2.473333e+02 3 1 781.112903 247.333333
#> 58 434 1305 1.525000e+02 6 1 386.516172 152.500000
#> 59 436 1620 9.508333e+02 5 1 330.447110 950.833333
#> 60 437 5580 7.593333e+02 12 1 1719.865577 759.333333
#> 61 438 2426 3.360000e+02 2 1 374.316781 336.000000
#> 62 439 1592 0.000000e+00 2 1 287.696366 0.000000
#> 63 441 1956 7.911667e+02 5 1 405.959885 791.166667
#> 64 501 27476 9.637333e+03 13 1 7548.939024 9637.333333
#> 65 502 30137 1.421550e+04 13 1 8442.603331 14215.500000
#> 66 511 2701 4.538333e+02 2 1 402.878669 453.833333
#> 67 512 2055 2.881667e+02 5 1 428.209184 288.166667
#> 68 513 2204 1.366500e+03 3 1 822.072648 1366.500000
#> 69 514 2347 NaN 3 3 840.206529 840.206529
#> 70 515 3664 6.971667e+02 2 1 502.897206 697.166667
#> 71 516 5741 2.264333e+03 12 1 1784.248142 2264.333333
#> 72 517 5935 2.135167e+03 11 1 1177.287082 2135.166667
#> 73 519 3154 0.000000e+00 2 1 449.927887 0.000000
#> 74 520 4462 6.606667e+02 2 1 585.778610 660.666667
#> 75 521 5072 9.073333e+02 11 1 938.391634 907.333333
#> 76 522 6227 2.173667e+03 11 1 1258.118451 2173.666667
#> 77 528 14906 3.156667e+02 10 2 3061.845934 315.666667
#> 78 529 13180 7.595000e+02 7 1 1859.773868 759.500000
#> 79 532 6629 1.543667e+03 7 1 625.165916 1543.666667
#> 80 533 9044 6.772167e+03 7 2 1080.299210 6772.166667
#> 81 534 13695 1.341833e+03 10 1 2768.119672 1341.833333
#> 82 536 5758 7.725000e+02 10 1 843.012037 772.500000
#> 83 538 6751 1.821667e+02 11 1 1403.172003 182.166667
#> 84 540 3058 0.000000e+00 2 1 439.957192 0.000000
#> 85 541 1321 4.375000e+02 6 1 389.911061 437.500000
#> 86 542 6458 1.836667e+03 11 1 1322.063815 1836.666667
#> 87 543 2168 3.190000e+02 2 1 347.520538 319.000000
#> 88 544 3220 0.000000e+00 2 1 456.782740 0.000000
#> 89 545 1590 2.333333e+01 6 1 446.987618 23.333333
#> 90 602 67895 2.920667e+04 13 1 21123.165869 29206.666667
#> 91 604 27013 0.000000e+00 13 1 7393.446136 0.000000
#> 92 605 29801 8.698833e+03 13 1 8329.761840 8698.833333
#> 93 612 6767 9.061667e+02 8 1 670.165178 906.166667
#> 94 615 1074 2.599167e+03 5 2 207.738851 2599.166667
#> 95 616 3422 5.236667e+02 2 1 477.762745 523.666667
#> 96 617 4578 1.153333e+03 2 1 597.826533 1153.333333
#> 97 618 2422 4.638333e+02 2 1 373.901336 463.833333
#> 98 619 4711 2.683333e+02 3 1 1139.986211 268.333333
#> 99 620 4497 4.511667e+02 3 1 1112.848794 451.166667
#> 100 621 3512 3.583333e+01 2 1 487.110271 35.833333
#> 101 622 2275 9.183333e+01 1 1 434.865118 91.833333
#> 102 623 13794 1.568000e+03 10 1 2792.131976 1568.000000
#> 103 624 18205 2.884333e+03 7 1 2806.790348 2884.333333
#> 104 625 24431 2.371667e+03 13 1 6526.313013 2371.666667
#> 105 626 25731 8.612333e+03 13 1 6962.902114 8612.333333
#> 106 627 21492 1.658333e+03 13 1 5539.285805 1658.333333
#> 107 628 9413 6.666667e+00 7 1 1149.841315 6.666667
#> 108 631 2699 8.221667e+02 1 1 451.538535 822.166667
#> 109 632 1404 3.710000e+02 6 1 407.522043 371.000000
#> 110 633 2548 7.368333e+02 6 1 650.256549 736.833333
#> 111 701 27178 1.914667e+03 13 1 7448.859368 1914.666667
#> 112 702 10741 1.034167e+03 7 1 1400.117511 1034.166667
#> 113 704 42276 1.454900e+04 13 1 12519.338027 14549.000000
#> 114 706 45820 1.777533e+04 13 1 13709.547086 17775.333333
#> 115 709 43867 6.152667e+03 13 1 13053.655920 6152.666667
#> 116 711 6604 3.716667e+02 7 1 620.454392 371.666667
#> 117 713 9297 1.004500e+03 10 1 1701.391263 1004.500000
#> 118 714 3163 1.070500e+03 2 1 450.862640 1070.500000
#> 119 716 9361 1.535500e+03 8 1 1796.508189 1535.500000
#> 120 719 5937 5.213333e+02 10 1 886.428223 521.333333
#> 121 720 11657 1.129000e+03 7 1 1572.747779 1129.000000
#> 122 722 21621 3.295000e+03 13 1 5582.608878 3295.000000
#> 123 723 4971 4.468333e+02 1 1 540.882880 446.833333
#> 124 728 2474 0.000000e+00 1 1 442.690613 0.000000
#> 125 805 35955 6.045500e+03 13 1 10396.507480 6045.500000
#> 126 806 53952 3.463967e+04 13 2 16440.579835 34639.666667
#> 127 807 12717 3.968000e+03 11 1 3054.678664 3968.000000
#> 128 811 2335 3.266667e+01 1 1 437.224564 32.666667
#> 129 814 14088 2.291667e+03 8 1 3849.022998 2291.666667
#> 130 815 10607 1.900667e+03 11 1 2470.588980 1900.666667
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#> 397 1926 1158 4.866667e+01 5 1 226.617044 48.666667
#> 398 1927 1543 0.000000e+00 5 1 313.142099 0.000000
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#> 401 1931 11618 7.205000e+02 12 1 4134.411695 720.500000
#> 402 1933 5701 2.388333e+02 11 1 1112.511260 238.833333
#> 403 1936 2282 3.805000e+02 6 1 593.816533 380.500000
#> 404 1938 2861 2.313333e+02 6 1 716.669049 231.333333
#> 405 1939 1865 4.158333e+02 6 1 505.337259 415.833333
#> 406 1940 2150 3.057833e+03 6 2 565.808705 3057.833333
#> 407 1941 2920 3.048333e+02 3 1 912.868863 304.833333
#> 408 1942 4895 4.610000e+02 3 1 1163.319316 461.000000
#> 409 1943 1231 2.656667e+02 6 1 370.814815 265.666667
#> 410 2002 2137 2.946333e+03 3 1 813.576354 2946.333333
#> 411 2003 6160 6.375000e+02 12 1 1951.802766 637.500000
#> 412 2004 10455 9.958000e+03 12 2 3669.337641 9958.000000
#> 413 2011 2956 6.423333e+02 3 1 917.434036 642.333333
#> 414 2012 20097 9.051000e+03 12 1 7525.093466 9051.000000
#> 415 2014 951 2.166667e+00 6 1 311.404271 2.166667
#> 416 2015 1054 8.000000e+00 6 1 333.258864 8.000000
#> 417 2017 1035 2.640000e+02 6 1 329.227434 264.000000
#> 418 2018 1215 2.655000e+02 6 1 367.419926 265.500000
#> 419 2019 3276 2.343833e+03 3 1 958.013350 2343.833333
#> 420 2020 3978 0.000000e+00 3 1 1047.034220 0.000000
#> 421 2021 2668 1.726167e+03 3 1 880.912653 1726.166667
#> 422 2022 1318 6.226667e+02 6 1 389.274519 622.666667
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#> 424 2024 1000 5.100000e+02 6 1 321.801116 510.000000
#> 425 2025 2922 NaN 6 3 729.612061 729.612061
#> 426 2027 959 NaN 13 3 -1356.471136 -1356.471136
#> 427 2028 2211 NaN 3 3 822.960321 822.960321
#> 428 2030 10227 7.010333e+03 12 1 3578.162333 7010.333333
#> rStud dffits hii leaveOutResid
#> 1 -1.665908125 -0.224656149 0.01786107 -7359.572470
#> 2 -0.893498027 -0.120102654 0.01774766 -4016.338852
#> 3 0.256764011 0.034116842 0.01734877 1161.587392
#> 4 3.002191607 0.421642685 0.01934325 12609.683884
#> 5 0.008151663 0.002227742 0.06949538 7.747618
#> 6 0.232520482 0.043482542 0.03378930 70.478227
#> 7 0.197536818 0.044973631 0.04928019 102.698201
#> 8 -0.256799214 -0.104815207 0.14280427 -55.023706
#> 9 0.625997931 0.210379122 0.10148142 799.811621
#> 10 -0.128279000 -0.023886035 0.03351000 -152.648536
#> 11 -0.657426997 -0.174996177 0.06616555 -1710.934606
#> 12 2.219215542 0.745971625 0.10152051 2509.609574
#> 13 -1.211333623 -0.195160810 0.02530046 -524.262478
#> 14 -0.664799081 -0.094019785 0.01960907 -782.007169
#> 15 -0.127689392 -0.037819375 0.08064924 -200.176248
#> 16 0.021721045 0.004728073 0.04523786 33.424026
#> 17 -1.088136545 -0.529269673 0.19132127 -594.802617
#> 18 -0.594934772 -0.320552856 0.22499188 -339.624506
#> 19 1.367247866 0.342620295 0.05908562 2049.580059
#> 20 0.178133995 0.024036478 0.01788182 806.338250
#> 21 1.233068799 0.403294508 0.09663476 1897.967116
#> 22 4.868255681 NaN NaN 12457.700125
#> 23 1.689704565 0.529339823 0.08936958 2531.871967
#> 24 -0.401497135 -0.054609573 0.01816400 -1815.536740
#> 25 -0.897463121 -0.155566605 0.02917041 -4057.567560
#> 26 3.783645843 NaN NaN 16973.007859
#> 27 -1.471879728 -0.336205253 0.04958796 -2184.167993
#> 28 -0.776677161 -0.211619550 0.06910822 -1197.077643
#> 29 -0.675077124 -0.131244028 0.03642001 -1025.426013
#> 30 1.390966727 0.378230767 0.06884940 2093.668587
#> 31 -0.187217331 -0.037760964 0.03909096 -286.980662
#> 32 0.455796769 0.060848309 0.01750986 2059.520102
#> 33 1.606468045 0.213108372 0.01729341 7106.904137
#> 34 -0.416259198 -0.057221234 0.01854627 -1882.450124
#> 35 -0.304983285 -0.101957127 0.10052461 -482.685267
#> 36 0.208682408 0.027951373 0.01762431 944.392967
#> 37 -2.592573435 -1.038143066 0.13818649 -3757.359033
#> 38 -0.134106897 -0.018384990 0.01844752 -607.296716
#> 39 0.073838625 0.013792620 0.03371563 112.931921
#> 40 0.166157032 0.026364879 0.02455924 72.954555
#> 41 0.276915933 0.578258056 0.81345415 2874.949263
#> 42 -0.368281358 -0.127734757 0.10738042 -988.302114
#> 43 3.455324718 0.466382545 0.01789229 14181.682032
#> 44 -1.490420904 -0.199829549 0.01765891 -6615.423171
#> 45 0.422162822 0.121662669 0.07668405 658.423942
#> 46 3.932673511 NaN NaN 6255.915277
#> 47 0.315972739 0.110268754 0.10856624 408.965761
#> 48 0.226806664 0.062980471 0.07158811 353.591302
#> 49 -0.551744248 -0.095614041 0.02915530 -653.131001
#> 50 0.029900258 0.008647453 0.07718637 13.501216
#> 51 -0.770752047 -0.111930981 0.02065415 -905.703126
#> 52 NaN NaN NaN NaN
#> 53 -0.519186032 -0.071761117 0.01874622 -2346.109440
#> 54 -1.173104882 -0.190888601 0.02579507 -1371.146211
#> 55 -1.408758960 -0.337422629 0.05425610 -615.759915
#> 56 -0.590604577 -0.106323215 0.03139142 -259.363797
#> 57 -0.620353069 -0.214325819 0.10663506 -597.493305
#> 58 -0.486541805 -0.085062165 0.02965903 -241.169011
#> 59 2.335328536 0.514688317 0.04632272 650.520085
#> 60 -0.551245791 -0.175682427 0.09220488 -1058.093643
#> 61 -0.090082160 -0.017968253 0.03826397 -39.841266
#> 62 -0.699977389 -0.224179806 0.09302900 -317.205695
#> 63 1.410690475 0.470019494 0.09991937 427.969194
#> 64 0.470624958 0.063904751 0.01810430 2126.900352
#> 65 1.318542578 0.177963905 0.01789102 5878.061208
#> 66 0.119174569 0.020272651 0.02812322 52.429141
#> 67 -0.503946920 -0.189278379 0.12362902 -159.798214
#> 68 0.623267759 0.182776037 0.07918813 591.247105
#> 69 NaN NaN NaN NaN
#> 70 0.454207708 0.070556662 0.02356198 198.957288
#> 71 0.272918285 0.085139662 0.08868815 526.806704
#> 72 0.837823838 0.150536289 0.03127362 988.803032
#> 73 -1.059962651 -0.151345823 0.01997996 -459.100703
#> 74 0.177775204 0.043407064 0.05626380 79.352744
#> 75 -0.027125422 -0.005707083 0.04239006 -32.433143
#> 76 0.799070191 0.136484049 0.02834687 942.258294
#> 77 -2.040559893 NaN NaN -2746.179267
#> 78 -0.752147038 -0.140314530 0.03363122 -1138.565211
#> 79 0.646833287 0.208692407 0.09428058 1014.111801
#> 80 3.751935988 NaN NaN 5691.867457
#> 81 -1.379476075 -0.698304179 0.20397900 -1791.769741
#> 82 -0.060272738 -0.018839047 0.08900082 -77.400769
#> 83 -1.068868770 -0.168158033 0.02415284 -1251.226002
#> 84 -1.036393959 -0.151109261 0.02081597 -449.310017
#> 85 0.098601797 0.017114938 0.02924755 49.022734
#> 86 0.446639163 0.073448095 0.02633050 528.519020
#> 87 -0.067509643 -0.015706268 0.05134775 -30.064271
#> 88 -1.076331418 -0.152512653 0.01968278 -465.954008
#> 89 -0.886148195 -0.145847718 0.02637416 -435.130487
#> 90 1.875213155 0.254754654 0.01812177 8232.691739
#> 91 -1.706263056 -0.231950148 0.01814450 -7530.075562
#> 92 0.083001487 0.011210775 0.01791629 375.804515
#> 93 0.099727958 0.039373655 0.13485485 272.788317
#> 94 7.977333017 NaN NaN 2391.427816
#> 95 0.106922486 0.015344085 0.02017859 46.849274
#> 96 1.348379552 0.351907585 0.06376987 593.344290
#> 97 0.211528785 0.042293690 0.03844044 93.527226
#> 98 -1.012074292 -0.306589605 0.08405427 -951.642497
#> 99 -0.755678197 -0.205032626 0.06856827 -710.392514
#> 100 -1.063827802 -0.156117402 0.02108174 -460.995524
#> 101 -0.726144220 -0.252737016 0.10805170 -384.587073
#> 102 -1.170375237 -0.602799533 0.20965769 -1548.863019
#> 103 0.053819300 0.016050287 0.08167445 84.439538
#> 104 -0.942023264 -0.128922306 0.01838543 -4232.461993
#> 105 0.371451901 0.050659583 0.01826057 1680.111000
#> 106 -0.879203165 -0.121350574 0.01869431 -3954.886354
#> 107 -0.789608859 -0.183910516 0.05145719 -1205.190353
#> 108 0.770371166 0.213914393 0.07158501 399.205245
#> 109 -0.075601227 -0.012724120 0.02754652 -37.556597
#> 110 0.184143048 0.053616982 0.07815421 93.916775
#> 111 -1.262565289 -0.171564158 0.01813007 -5636.380658
#> 112 -0.248675799 -0.050699463 0.03990734 -381.162008
#> 113 0.457150860 0.060658470 0.01730151 2065.396459
#> 114 0.921018906 0.122015844 0.01724802 4137.143795
#> 115 -1.586475116 -0.210316545 0.01727087 -7022.269955
#> 116 -0.174006572 -0.056304765 0.09477929 -274.836538
#> 117 -0.591877720 -0.145824322 0.05722726 -739.193270
#> 118 1.475294518 0.210358808 0.01992612 632.235358
#> 119 -0.106736238 -0.030638830 0.07612605 -282.514936
#> 120 -0.312167538 -0.094645712 0.08418490 -398.655678
#> 121 -0.300977459 -0.057558897 0.03528233 -459.976832
#> 122 -0.515878054 -0.071175405 0.01867998 -2331.154806
#> 123 -0.202255664 -0.087764997 0.15845890 -111.758708
#> 124 -0.935872462 -0.292288806 0.08887302 -485.871479
#> 125 -0.986879589 -0.131824296 0.01753000 -4428.641561
#> 126 4.057459659 NaN NaN 18199.086831
#> 127 0.815982554 0.227649509 0.07221371 984.409172
#> 128 -0.858247196 -0.289068768 0.10188484 -450.452143
#> 129 -0.635323502 -0.147929754 0.05142709 -1641.788749
#> 130 -0.497136494 -0.094793389 0.03508285 -590.643779
#> 131 0.285755870 0.057496682 0.03890983 126.328983
#> 132 0.318162431 0.051699265 0.02572483 376.756551
#> 133 -0.994260446 -0.173521422 0.02955803 -1168.957918
#> 134 -0.682825128 -0.210042544 0.08644325 -357.931488
#> 135 -0.235710341 -0.071650689 0.08458645 -454.249985
#> 136 -1.156399876 -0.252907935 0.04564757 -344.604273
#> 137 -0.079636678 -0.011855846 0.02168295 -34.922364
#> 138 1.578178273 0.310680978 0.03730822 680.278234
#> 139 1.930896949 0.366548058 0.03478312 549.443294
#> 140 0.489177630 0.084835560 0.02919802 242.409110
#> 141 0.214957130 0.061688018 0.07609000 204.855434
#> 142 -1.155419233 -0.223659822 0.03611775 -1053.245690
#> 143 -0.195026451 -0.029983214 0.02309000 -230.783328
#> 144 -0.416054687 -0.057244320 0.01857887 -1881.559420
#> 145 -0.559838028 -0.074202314 0.01726422 -2526.897810
#> 146 -0.897931033 -0.174153079 0.03625263 -393.462312
#> 147 0.925835428 0.367180197 0.13590959 493.814075
#> 148 -0.645708038 -0.193264049 0.08221842 -815.667335
#> 149 2.614172690 NaN NaN 3079.798113
#> 150 0.245504091 0.046556644 0.03471379 292.192038
#> 151 -1.098383883 -0.387542223 0.11070690 -498.999718
#> 152 -0.067423204 -0.012011343 0.03076064 -33.550031
#> 153 NaN NaN NaN NaN
#> 154 1.982880805 0.449255946 0.04882635 934.710105
#> 155 5.552354897 NaN NaN 2725.914059
#> 156 2.356552862 0.425284809 0.03154178 1089.895103
#> 157 1.241663037 0.185723934 0.02188360 5556.263926
#> 158 0.180115216 0.026254183 0.02080489 816.517156
#> 159 3.061853658 0.807570897 0.06504069 6534.629289
#> 160 2.681260359 0.437490205 0.02593270 2964.479380
#> 161 0.642578026 0.096447121 0.02203188 757.031155
#> 162 5.283774213 NaN NaN 13429.617276
#> 163 0.197362222 0.055350072 0.07291671 250.962769
#> 164 -0.559801654 -0.109655000 0.03695188 -852.773688
#> 165 2.394606790 1.057077617 0.16308898 407.319170
#> 166 0.474226375 0.104432657 0.04625244 237.140340
#> 167 -0.433603222 -0.140266539 0.09473272 -89.804070
#> 168 0.013541638 0.004309049 0.09194585 6.164154
#> 169 0.133408824 0.019051429 0.01998566 157.651473
#> 170 1.491304515 0.361756304 0.05557350 439.904544
#> 171 -0.911017623 -0.275475534 0.08377504 -1711.430651
#> 172 0.396808202 0.059110347 0.02170871 1797.642589
#> 173 3.144874134 1.976479615 0.28314526 3579.417403
#> 174 0.703551174 0.097450382 0.01882446 3172.885411
#> 175 6.190815054 NaN NaN 27976.674330
#> 176 0.256307674 0.034189715 0.01748268 1159.604424
#> 177 -0.986401560 -0.221849535 0.04814808 -499.745304
#> 178 3.668457139 NaN NaN 1590.328448
#> 179 -0.531712388 -0.084853656 0.02483508 -232.874269
#> 180 -2.174852872 -0.678770907 0.08876040 -3160.021026
#> 181 0.172098067 0.056143615 0.09618920 272.037385
#> 182 -1.188843054 -0.451898614 0.12624715 -3116.660764
#> 183 0.489975156 0.112237707 0.04985616 1270.795279
#> 184 0.477923680 0.065119080 0.01822681 2159.884904
#> 185 0.578927366 0.143609936 0.05796777 1504.036625
#> 186 0.508388861 0.075939812 0.02182546 2301.162998
#> 187 -0.849267507 -0.190542144 0.04792522 -2171.956012
#> 188 -0.020675591 -0.004637958 0.04790891 -19.426609
#> 189 0.799258558 0.117948418 0.02131343 3604.420629
#> 190 6.944491227 NaN NaN 6509.307266
#> 191 -1.076580505 -0.152537023 0.01968001 -466.058641
#> 192 -0.016545639 -0.005030012 0.08460205 -7.501297
#> 193 0.131706264 0.059310453 0.16860067 28.731938
#> 194 5.606982467 NaN NaN 1704.398560
#> 195 -1.146266687 -0.315057959 0.07023939 -2105.689051
#> 196 -1.767152317 -0.234494069 0.01730355 -7781.258506
#> 197 1.467378201 0.827427742 0.24125312 301.298235
#> 198 -0.721049030 -0.104981298 0.02075794 -847.989701
#> 199 -0.532002029 -0.205600902 0.12994776 -2552.722687
#> 200 0.207843355 0.056713708 0.06929707 109.199681
#> 201 -0.488724135 -0.093402758 0.03523806 -580.745746
#> 202 -2.267761660 -0.536321030 0.05296868 -2591.338009
#> 203 -1.108245175 -0.431985412 0.13189774 -2928.805534
#> 204 -1.066822688 -0.205695649 0.03584373 -975.741348
#> 205 -0.838667349 -0.135686589 0.02550779 -365.848003
#> 206 -2.664160756 -0.815211426 0.08561480 -3042.703969
#> 207 -0.720573182 -0.141498652 0.03712927 -357.127783
#> 208 0.486811965 0.131709874 0.06820768 924.326812
#> 209 -0.212211443 -0.030337854 0.02002837 -92.943155
#> 210 0.441321314 0.066017552 0.02188758 1998.805304
#> 211 5.114151558 NaN NaN 2515.252611
#> 212 -0.565259729 -0.152679200 0.06799572 -173.599519
#> 213 0.236204656 0.086565182 0.11840708 294.179459
#> 214 0.054756051 0.007811173 0.01994431 64.714764
#> 215 3.916947743 0.677214979 0.02902457 1500.982892
#> 216 -0.724584832 -0.187890856 0.06300433 -679.704660
#> 217 -0.203873477 -0.089475675 0.16150594 -565.956650
#> 218 1.378231038 0.511999028 0.12126909 1302.903953
#> 219 -0.321098006 -0.123553758 0.12896511 -873.077591
#> 220 -0.806994657 -0.110311160 0.01834246 -3633.391127
#> 221 -0.873409317 -0.118344380 0.01802846 -3927.849430
#> 222 0.496626896 0.111933540 0.04834373 464.619426
#> 223 0.349808610 0.052461129 0.02199655 1585.460026
#> 224 -0.645996588 -0.153640009 0.05353674 -803.563058
#> 225 -0.470295261 -0.163087323 0.10734523 -1259.070781
#> 226 0.689405267 0.224394657 0.09579498 658.921574
#> 227 0.349895549 0.123290769 0.11044750 453.033226
#> 228 0.199579022 0.103392980 0.21159358 414.659600
#> 229 4.549264781 NaN NaN 1976.481757
#> 230 1.507551935 0.620019054 0.14467591 466.897331
#> 231 1.313311695 0.220489509 0.02741374 636.920727
#> 232 2.510333382 0.609425512 0.05565560 2841.777028
#> 233 -1.684907524 -0.902765654 0.22304551 -542.291411
#> 234 0.861375641 0.275660620 0.09290073 266.098539
#> 235 -0.206660329 -0.062341304 0.08340904 -42.876840
#> 236 3.800838040 NaN NaN 3506.259485
#> 237 -1.007190662 -0.231091698 0.05001082 -930.090246
#> 238 0.801351586 0.150338977 0.03399964 240.322471
#> 239 1.283462998 0.276403297 0.04432317 559.963502
#> 240 -0.419151869 -0.144864668 0.10670330 -1123.149684
#> 241 0.244853524 0.036485900 0.02172199 1110.238322
#> 242 -1.217324225 -0.268179110 0.04628660 -598.163635
#> 243 0.884981173 0.290583276 0.09732099 1677.425904
#> 244 1.780403266 0.606316194 0.10392198 3156.773118
#> 245 -0.682521915 -0.164479526 0.05488757 -351.753079
#> 246 -0.025935709 -0.004129057 0.02471924 -11.391719
#> 247 2.234619450 0.338755516 0.02246457 933.051328
#> 248 NaN NaN NaN NaN
#> 249 -0.096330154 -0.021543447 0.04763324 -251.143244
#> 250 1.530710211 0.242540746 0.02449145 656.428141
#> 251 -1.531021053 -1.008967250 0.30279675 -869.665372
#> 252 0.033254541 0.005859426 0.03011134 39.508925
#> 253 -0.950085398 -0.254313717 0.06685924 -487.051753
#> 254 0.060528701 0.010723123 0.03042980 71.922594
#> 255 -0.831622476 -0.259188388 0.08853568 -167.132703
#> 256 1.600367636 0.295420712 0.03295263 1855.316944
#> 257 -0.222234854 -0.056308650 0.06032581 -280.599517
#> 258 0.467555186 0.063603956 0.01816934 2113.152186
#> 259 -0.186239808 -0.024669154 0.01724288 -842.733175
#> 260 -0.883637226 -0.120900385 0.01837606 -3973.909076
#> 261 0.447920225 0.063358923 0.01961600 195.819443
#> 262 -0.647020023 -0.193111086 0.08179359 -338.739916
#> 263 -0.143253992 -0.043068012 0.08289271 -380.471833
#> 264 10.789728701 NaN NaN 12618.714294
#> 265 0.057253663 0.019774884 0.10658028 74.244395
#> 266 -1.413681911 -0.210800492 0.02175149 -1638.624490
#> 267 -0.245067415 -0.072782821 0.08105437 -312.794959
#> 268 2.191034023 0.748126337 0.10441404 1043.925711
#> 269 -0.699999763 -0.116149919 0.02679456 -345.226330
#> 270 -0.880250151 -0.232347266 0.06513464 -391.753838
#> 271 NaN NaN NaN NaN
#> 272 0.433313555 0.123594331 0.07523564 675.167192
#> 273 1.644431519 0.589759728 0.11396454 826.625921
#> 274 -0.162238110 -0.039815745 0.05680733 -251.055949
#> 275 -0.763400741 -0.107962212 0.01960821 -896.690093
#> 276 -1.103920932 -0.269677046 0.05631683 -1342.820807
#> 277 -0.230305904 -0.036984498 0.02514036 -272.774895
#> 278 0.859341681 0.124448303 0.02054150 1008.248839
#> 279 -0.429720560 -0.064454754 0.02200267 -188.123268
#> 280 -1.905467241 -0.737530458 0.13029530 -343.401953
#> 281 -0.871256964 -0.165032635 0.03463681 -260.822012
#> 282 0.262738955 0.038839944 0.02138552 1191.033150
#> 283 -1.061711649 -0.273729759 0.06232781 -1299.062716
#> 284 1.064765059 0.238354181 0.04772023 537.055645
#> 285 -0.333699742 -0.061135641 0.03247429 -396.489443
#> 286 -0.022634716 -0.004091264 0.03163755 -9.977294
#> 287 -0.063196336 -0.009111643 0.02036452 -27.694949
#> 288 0.667728999 0.176580442 0.06536240 1257.320333
#> 289 0.538120898 0.096107098 0.03091113 637.679091
#> 290 -0.798731894 -0.200681385 0.05937822 -354.883162
#> 291 0.301542323 0.061686283 0.04016761 91.639896
#> 292 -0.481602898 -0.103718811 0.04432484 -240.561950
#> 293 -0.187625621 -0.035041980 0.03370563 -174.878430
#> 294 -3.509621093 NaN NaN -16060.507589
#> 295 2.132078698 0.462063594 0.04486047 904.441747
#> 296 NaN NaN NaN NaN
#> 297 -1.231962794 -0.356510481 0.07727216 -1144.107766
#> 298 1.878539372 0.595229679 0.09123856 1699.039025
#> 299 0.989937618 0.472452053 0.18551635 2718.493742
#> 300 1.242957479 0.399383000 0.09358255 240.144543
#> 301 -1.081887049 -0.172880778 0.02489885 -1266.588892
#> 302 0.420140414 0.122566563 0.07843020 189.492600
#> 303 -0.806781629 -0.114096382 0.01960792 -351.067232
#> 304 -0.635910982 -0.163150370 0.06175868 -194.345721
#> 305 0.265848926 0.066945731 0.05963128 81.654895
#> 306 0.608364345 0.093948364 0.02329247 717.503080
#> 307 0.440147025 0.081000920 0.03275816 193.737896
#> 308 -1.269493829 -0.229403521 0.03162162 -550.422255
#> 309 1.200719157 0.228238395 0.03487220 1790.533145
#> 310 -0.960979816 -0.182254222 0.03472002 -1133.599762
#> 311 0.738086039 0.185978035 0.05970019 328.308557
#> 312 1.569970126 0.448693706 0.07551240 1863.206990
#> 313 2.533497932 0.590422765 0.05151296 3515.782221
#> 314 -0.245299021 -0.069305861 0.07392549 -382.841398
#> 315 1.304140692 0.228949192 0.02989831 1522.527024
#> 316 0.813619142 0.185892788 0.04961167 2085.937663
#> 317 0.648605926 0.179270722 0.07097180 337.567832
#> 318 2.208490763 0.520338573 0.05259180 1041.417111
#> 319 -1.067240586 -0.147175573 0.01866231 -4784.974916
#> 320 0.867687957 0.254320582 0.07911205 1049.761975
#> 321 0.978283281 0.243569575 0.05837094 908.328147
#> 322 0.956950450 0.131377035 0.01849910 4298.688016
#> 323 -0.942776945 -0.270994644 0.07631784 -485.951245
#> 324 -0.049639726 -0.055326178 0.55401576 -14.797611
#> 325 2.825419334 1.220254307 0.15720209 6519.077108
#> 326 -1.303723731 -0.322716546 0.05773565 -3267.224400
#> 327 -0.533594649 -0.100233431 0.03408332 -234.809885
#> 328 -0.861702282 -0.190333874 0.04651893 -259.641503
#> 329 -0.942721017 -0.285843913 0.08419646 -888.651267
#> 330 0.948577598 0.176363739 0.03341288 283.072557
#> 331 -0.234246058 -0.073096850 0.08873546 -120.126037
#> 332 -0.618619875 -0.144020948 0.05141388 -309.493362
#> 333 4.128493445 1.132071658 0.06993251 1719.920615
#> 334 -0.442415470 -0.084666199 0.03532958 -133.855555
#> 335 -0.808744966 -0.135991314 0.02749730 -353.334639
#> 336 25.585154108 NaN NaN 5180.593587
#> 337 0.136407140 0.029587802 0.04493494 41.613581
#> 338 1.446143405 0.370845874 0.06170276 1318.630135
#> 339 -0.511076045 -0.106459541 0.04158638 -609.173208
#> 340 -0.337489898 -0.141060687 0.14871810 -108.861430
#> 341 1.415889611 0.222185153 0.02403292 1642.997938
#> 342 -0.108720139 -0.014407979 0.01725937 -492.063845
#> 343 0.499983251 0.328795347 0.30189754 698.357980
#> 344 -1.028914726 -0.197658508 0.03559047 -306.521596
#> 345 -0.348355732 -0.111608448 0.09309182 -334.617988
#> 346 0.112889509 0.015986357 0.01965934 133.388265
#> 347 NaN NaN NaN NaN
#> 348 NaN NaN NaN NaN
#> 349 NaN NaN NaN NaN
#> 350 -0.264851597 -0.068335415 0.06241610 -504.094770
#> 351 -0.365696207 -0.082699052 0.04865188 -162.407306
#> 352 -0.753488718 -0.287543932 0.12711887 -1462.378334
#> 353 -0.936446292 -0.179578756 0.03546990 -279.864906
#> 354 0.085945310 0.014251262 0.02675977 42.676971
#> 355 NaN NaN NaN NaN
#> 356 -0.721046929 -0.127867688 0.03048928 -356.133300
#> 357 -0.444990039 -0.120053932 0.06784827 -421.019314
#> 358 0.166552362 0.022696768 0.01823204 754.074843
#> 359 NaN NaN NaN NaN
#> 360 NaN NaN NaN NaN
#> 361 11.674946239 NaN NaN 3477.994845
#> 362 -0.698620204 -0.198884006 0.07496772 -1320.497080
#> 363 -0.617725292 -0.124092837 0.03879010 -307.014514
#> 364 -0.690327852 -0.142249660 0.04073163 -342.985617
#> 365 NaN NaN NaN NaN
#> 366 0.255175771 0.063018597 0.05748404 484.487147
#> 367 NaN NaN NaN NaN
#> 368 0.005360729 0.001321326 0.05727401 5.061889
#> 369 NaN NaN NaN NaN
#> 370 NaN NaN NaN NaN
#> 371 1.232484439 0.513720627 0.14802003 387.476545
#> 372 NaN NaN NaN NaN
#> 373 NaN NaN NaN NaN
#> 374 NaN NaN NaN NaN
#> 375 -0.467837283 -0.137656685 0.07967907 -238.176408
#> 376 -0.438669486 -0.168793886 0.12896560 -92.599212
#> 377 -0.680300332 -0.126447933 0.03339423 -204.620652
#> 378 -1.892969735 -0.402529875 0.04326155 -2184.354702
#> 379 0.671696307 0.104054633 0.02343569 791.591616
#> 380 0.022914868 0.003240774 0.01960930 27.078561
#> 381 NaN NaN NaN NaN
#> 382 3.626686815 NaN NaN 1603.429342
#> 383 0.632409576 0.112361109 0.03060114 748.437563
#> 384 0.706853396 0.151270196 0.04379254 841.423875
#> 385 -0.711590653 -0.161578333 0.04903115 -215.613756
#> 386 -0.634306783 -0.087497120 0.01867251 -2862.775021
#> 387 -0.234074744 -0.032011694 0.01835949 -1059.594467
#> 388 2.065617804 0.835732305 0.14066803 1030.666445
#> 389 0.604530913 0.088569348 0.02101389 264.023274
#> 390 -0.096903073 -0.016314264 0.02756268 -48.136638
#> 391 -0.768431120 -0.160910413 0.04200691 -231.627450
#> 392 -0.697660837 -0.142055325 0.03980924 -346.412750
#> 393 NaN NaN NaN NaN
#> 394 0.525816889 0.078185241 0.02163132 2379.424763
#> 395 0.559953827 0.088219548 0.02422016 661.108347
#> 396 NaN NaN NaN NaN
#> 397 -0.613333512 -0.125864325 0.04041078 -185.444328
#> 398 -1.095098115 -0.223206794 0.03988698 -326.151288
#> 399 -0.569451686 -0.200928956 0.11071631 -118.122297
#> 400 -0.221439566 -0.060189852 0.06879862 -68.375965
#> 401 -2.223883469 -0.663355205 0.08170531 -3717.664651
#> 402 -0.764296937 -0.143221202 0.03392359 -904.356965
#> 403 -0.448966380 -0.107335945 0.05406592 -225.508878
#> 404 -1.070787031 -0.388000276 0.11605955 -549.059288
#> 405 -0.185712250 -0.033398408 0.03132901 -92.398686
#> 406 5.046709118 NaN NaN 2492.024628
#> 407 -0.683129184 -0.141596593 0.04119370 -634.158881
#> 408 -0.817232313 -0.271833003 0.09961847 -780.024129
#> 409 -0.218279365 -0.039631687 0.03191346 -108.614410
#> 410 2.750680709 0.834893596 0.08435468 2329.239204
#> 411 -0.755925434 -0.223465901 0.08036724 -1429.160444
#> 412 3.408051264 NaN NaN 6288.662359
#> 413 -0.306800444 -0.062718941 0.04011481 -286.597508
#> 414 1.209434727 1.180814836 0.48802812 2980.449872
#> 415 -0.650013106 -0.142201133 0.04567296 -324.037348
#> 416 -0.681951266 -0.138566437 0.03964963 -338.687706
#> 417 -0.135967518 -0.027997843 0.04067653 -67.993160
#> 418 -0.211630793 -0.038773528 0.03247688 -105.341076
#> 419 1.610088963 0.302173027 0.03402344 1434.631069
#> 420 -1.197835582 -0.252964787 0.04269491 -1093.730964
#> 421 0.962480591 0.223064955 0.05097491 890.655071
#> 422 0.485151008 0.084322033 0.02932265 240.442560
#> 423 0.571163752 0.109613229 0.03552197 283.613640
#> 424 0.393474784 0.083068470 0.04266790 196.586830
#> 425 NaN NaN NaN NaN
#> 426 NaN NaN NaN NaN
#> 427 NaN NaN NaN NaN
#> 428 2.208365664 0.567819706 0.06201207 3659.077986
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 13 63 1 1014308.362 0.4431952 967220.101 1015664.83
#> 2 3 35 3 44251.734 3.7452374 34236.167 41536.33
#> 3 5 40 7 18126.959 4.7540238 10553.137 16315.00
#> 4 1 21 0 10077.833 0.0000000 10077.833 10077.83
#> 5 4 15 2 7815.614 3.7059959 2635.021 7506.00
#> 6 10 21 0 38947.167 0.0000000 35437.431 38947.17
#> 7 11 53 0 109351.000 0.0000000 93652.488 109351.00
#> 8 8 23 0 103671.167 0.0000000 77783.849 103671.17
#> 9 2 60 6 32953.286 3.3748386 27783.047 30221.83
#> 10 7 31 0 60145.167 0.0000000 54453.299 60145.17
#> 11 6 47 6 28788.926 4.4885567 21055.734 25727.83
#> 12 12 19 0 64476.000 0.0000000 58187.338 64476.00
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 -1678.53956 0.3358378 58 4446.9772 4495.3657 4456.3754
#> 2 542.58262 0.1268104 30 900.2946 1657.3325 1688.3070
#> 3 -33.63234 0.2247404 30 292.8646 861.7599 873.9230
#> 4 345.40280 0.0393241 21 493.9361 0.0000 0.0000
#> 5 -45.39801 0.1647779 12 188.8873 289.6463 301.2589
#> 6 -553.58236 0.2425485 19 1189.2364 0.0000 0.0000
#> 7 -465.63817 0.2768198 51 1158.0646 0.0000 0.0000
#> 8 -2268.13982 0.4342109 21 2477.0383 0.0000 0.0000
#> 9 122.34900 0.1038614 51 429.3204 1112.1202 1117.4782
#> 10 -624.14199 0.1884610 30 1476.4961 0.0000 0.0000
#> 11 109.62060 0.2121805 38 483.0700 1292.2072 1622.2837
#> 12 -511.53014 0.3998917 18 1788.6008 0.0000 0.0000
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 428 25 1532913 0.3370094
#>
#> $MyImputed
#> Brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 2792.0000
#> [2,] 11319.0000
#> [3,] 32854.0000
#> [4,] 42362.0000
#> [5,] 3278.0000
#> [6,] 853.0000
#> [7,] 1531.0000
#> [8,] 103.0000
#> [9,] 2226.0000
#> [10,] 2512.0000
#> [11,] 6721.0000
#> [12,] 10538.0000
#> [13,] 0.0000
#> [14,] 474.0000
#> [15,] 1507.0000
#> [16,] 5491.0000
#> [17,] 331.0000
#> [18,] 811.0000
#> [19,] 9867.0000
#> [20,] 22914.0000
#> [21,] 9635.0000
#> [22,] 7751.0000
#> [23,] 10648.0000
#> [24,] 14146.0000
#> [25,] 97383.0000
#> [26,] 53067.0000
#> [27,] 0.0000
#> [28,] 4400.0000
#> [29,] 1353.0000
#> [30,] 11010.0000
#> [31,] 2809.0000
#> [32,] 23871.0000
#> [33,] 41227.0000
#> [34,] 9878.0000
#> [35,] 400.0000
#> [36,] 23717.0000
#> [37,] 112.0000
#> [38,] 13445.0000
#> [39,] 4830.0000
#> [40,] 1245.0000
#> [41,] 455113.0000
#> [42,] 10354.0000
#> [43,] 23153.0000
#> [44,] 7146.0000
#> [45,] 3649.0000
#> [46,] 616.0000
#> [47,] 2657.0000
#> [48,] 2904.0000
#> [49,] 1440.0000
#> [50,] 1537.0000
#> [51,] 1500.0000
#> [52,] 1075.4358
#> [53,] 7919.0000
#> [54,] 10.0000
#> [55,] 0.0000
#> [56,] 309.0000
#> [57,] 742.0000
#> [58,] 409.0000
#> [59,] 569.0000
#> [60,] 1909.0000
#> [61,] 830.0000
#> [62,] 0.0000
#> [63,] 1828.0000
#> [64,] 20635.0000
#> [65,] 7666.0000
#> [66,] 1256.0000
#> [67,] 742.0000
#> [68,] 3199.0000
#> [69,] 2147.2256
#> [70,] 1721.0000
#> [71,] 7149.0000
#> [72,] 4099.0000
#> [73,] 0.0000
#> [74,] 1576.0000
#> [75,] 1535.0000
#> [76,] 5721.0000
#> [77,] 824.0000
#> [78,] 1803.0000
#> [79,] 3715.0000
#> [80,] 1433.0000
#> [81,] 3384.0000
#> [82,] 1961.0000
#> [83,] 445.0000
#> [84,] 0.0000
#> [85,] 1097.0000
#> [86,] 5303.0000
#> [87,] 801.0000
#> [88,] 0.0000
#> [89,] 140.0000
#> [90,] 56116.0000
#> [91,] 0.0000
#> [92,] 15997.0000
#> [93,] 2624.0000
#> [94,] 1145.0000
#> [95,] 1726.0000
#> [96,] 2957.0000
#> [97,] 1291.0000
#> [98,] 690.0000
#> [99,] 1208.0000
#> [100,] 106.0000
#> [101,] 260.0000
#> [102,] 3835.0000
#> [103,] 7781.0000
#> [104,] 5406.0000
#> [105,] 20942.0000
#> [106,] 4783.0000
#> [107,] 16.0000
#> [108,] 1216.0000
#> [109,] 304.0000
#> [110,] 1873.0000
#> [111,] 2934.0000
#> [112,] 2043.0000
#> [113,] 29885.0000
#> [114,] 20503.0000
#> [115,] 14068.0000
#> [116,] 781.0000
#> [117,] 2501.0000
#> [118,] 2201.0000
#> [119,] 3876.0000
#> [120,] 1232.0000
#> [121,] 2907.0000
#> [122,] 7164.0000
#> [123,] 1143.0000
#> [124,] 0.0000
#> [125,] 12781.0000
#> [126,] 72675.0000
#> [127,] 9812.0000
#> [128,] 106.0000
#> [129,] 6103.0000
#> [130,] 4926.0000
#> [131,] 1600.0000
#> [132,] 2033.0000
#> [133,] 265.0000
#> [134,] 447.0000
#> [135,] 3801.0000
#> [136,] 0.0000
#> [137,] 1015.0000
#> [138,] 2806.0000
#> [139,] 377.0000
#> [140,] 1587.0000
#> [141,] 2287.0000
#> [142,] 0.0000
#> [143,] 2037.0000
#> [144,] 8696.0000
#> [145,] 23978.0000
#> [146,] 0.0000
#> [147,] 2438.0000
#> [148,] 370.0000
#> [149,] 11348.0000
#> [150,] 4156.0000
#> [151,] 387.0000
#> [152,] 1072.0000
#> [153,] 418.0042
#> [154,] 1088.0000
#> [155,] 784.0000
#> [156,] 3053.0000
#> [157,] 4103.0000
#> [158,] 78937.0000
#> [159,] 14448.0000
#> [160,] 11708.0000
#> [161,] 6981.0000
#> [162,] 6404.0000
#> [163,] 3191.0000
#> [164,] 1007.0000
#> [165,] 1879.0000
#> [166,] 696.0000
#> [167,] 455.0000
#> [168,] 1512.0000
#> [169,] 8749.0000
#> [170,] 45.0000
#> [171,] 863.0000
#> [172,] 739.0000
#> [173,] 5848.0000
#> [174,] 47888.0000
#> [175,] 138672.0000
#> [176,] 28370.0000
#> [177,] 0.0000
#> [178,] 5084.0000
#> [179,] 566.0000
#> [180,] 0.0000
#> [181,] 7220.0000
#> [182,] 6665.0000
#> [183,] 5484.0000
#> [184,] 22687.0000
#> [185,] 11144.0000
#> [186,] 1386.0000
#> [187,] 2357.0000
#> [188,] 2196.0000
#> [189,] 4214.0000
#> [190,] 7117.0000
#> [191,] 0.0000
#> [192,] 1491.0000
#> [193,] 178.0000
#> [194,] 15.0000
#> [195,] 5125.0000
#> [196,] 13044.0000
#> [197,] 563.0000
#> [198,] 2689.0000
#> [199,] 205308.0000
#> [200,] 674.0000
#> [201,] 1531.0000
#> [202,] 262.0000
#> [203,] 6421.0000
#> [204,] 0.0000
#> [205,] 169.0000
#> [206,] 829.0000
#> [207,] 0.0000
#> [208,] 6358.0000
#> [209,] 1092.0000
#> [210,] 1371.0000
#> [211,] 633.0000
#> [212,] 25.0000
#> [213,] 8113.0000
#> [214,] 5161.0000
#> [215,] 1435.0000
#> [216,] 572.0000
#> [217,] 2162.0000
#> [218,] 2002.0000
#> [219,] 0.0000
#> [220,] 7228.0000
#> [221,] 9927.0000
#> [222,] 4074.0000
#> [223,] 0.0000
#> [224,] 846.0000
#> [225,] 0.0000
#> [226,] 2720.0000
#> [227,] 2169.0000
#> [228,] 8647.0000
#> [229,] 4004.0000
#> [230,] 1303.0000
#> [231,] 1542.0000
#> [232,] 14126.0000
#> [233,] 0.0000
#> [234,] 658.0000
#> [235,] 387.0000
#> [236,] 12094.0000
#> [237,] 0.0000
#> [238,] 1048.0000
#> [239,] 2397.0000
#> [240,] 397.0000
#> [241,] 0.0000
#> [242,] 0.0000
#> [243,] 8456.0000
#> [244,] 11700.0000
#> [245,] 0.0000
#> [246,] 1079.0000
#> [247,] 285.0000
#> [248,] 925.4597
#> [249,] 5772.0000
#> [250,] 94.0000
#> [251,] 758.0000
#> [252,] 1895.0000
#> [253,] 0.0000
#> [254,] 3038.0000
#> [255,] 0.0000
#> [256,] 8526.0000
#> [257,] 2281.0000
#> [258,] 24205.0000
#> [259,] 22851.0000
#> [260,] 7486.0000
#> [261,] 1064.0000
#> [262,] 405.0000
#> [263,] 3423.0000
#> [264,] 5817.0000
#> [265,] 1780.0000
#> [266,] 932.0000
#> [267,] 3974.0000
#> [268,] 3098.0000
#> [269,] 601.0000
#> [270,] 461.0000
#> [271,] 342.7231
#> [272,] 3714.0000
#> [273,] 3436.0000
#> [274,] 2024.0000
#> [275,] 2111.0000
#> [276,] 1115.0000
#> [277,] 2432.0000
#> [278,] 3288.0000
#> [279,] 554.0000
#> [280,] 0.0000
#> [281,] 0.0000
#> [282,] 1770.0000
#> [283,] 1287.0000
#> [284,] 2093.0000
#> [285,] 1862.0000
#> [286,] 1061.0000
#> [287,] 980.0000
#> [288,] 7244.0000
#> [289,] 5687.0000
#> [290,] 0.0000
#> [291,] 958.0000
#> [292,] 1105.0000
#> [293,] 1765.0000
#> [294,] 77340.0000
#> [295,] 3297.0000
#> [296,] 332.0773
#> [297,] 14.0000
#> [298,] 3938.0000
#> [299,] 5014.0000
#> [300,] 1070.0000
#> [301,] 388.0000
#> [302,] 2042.0000
#> [303,] 2.0000
#> [304,] 0.0000
#> [305,] 564.0000
#> [306,] 5541.0000
#> [307,] 1462.0000
#> [308,] 0.0000
#> [309,] 7918.0000
#> [310,] 0.0000
#> [311,] 1926.0000
#> [312,] 5310.0000
#> [313,] 12273.0000
#> [314,] 1835.0000
#> [315,] 2014.0000
#> [316,] 14395.0000
#> [317,] 2009.0000
#> [318,] 3413.0000
#> [319,] 2123.0000
#> [320,] 9687.0000
#> [321,] 3978.0000
#> [322,] 23850.0000
#> [323,] 0.0000
#> [324,] 1291.0000
#> [325,] 25837.0000
#> [326,] 3302.0000
#> [327,] 473.0000
#> [328,] 0.0000
#> [329,] 0.0000
#> [330,] 1379.0000
#> [331,] 297.0000
#> [332,] 0.0000
#> [333,] 3258.0000
#> [334,] 0.0000
#> [335,] 331.0000
#> [336,] 85.0000
#> [337,] 405.0000
#> [338,] 5225.0000
#> [339,] 607.0000
#> [340,] 0.0000
#> [341,] 132.0000
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#> [332,] 0.000000
#> [333,] 269.000000
#> [334,] 0.000000
#> [335,] 207.000000
#> [336,] 0.000000
#> [337,] 20.000000
#> [338,] 151.000000
#> [339,] 211.000000
#> [340,] 0.000000
#> [341,] 0.000000
#> [342,] 671.000000
#> [343,] 964.000000
#> [344,] 0.000000
#> [345,] 198.000000
#> [346,] 0.000000
#> [347,] 38.265302
#> [348,] -2.425264
#> [349,] 34.145856
#> [350,] 234.000000
#> [351,] 0.000000
#> [352,] 1031.000000
#> [353,] 0.000000
#> [354,] 0.000000
#> [355,] 25.769066
#> [356,] 0.000000
#> [357,] 12.000000
#> [358,] 1155.000000
#> [359,] 51.379791
#> [360,] 35.387962
#> [361,] 0.000000
#> [362,] 0.000000
#> [363,] 0.000000
#> [364,] 0.000000
#> [365,] 130.868939
#> [366,] 1112.000000
#> [367,] 42.192971
#> [368,] 237.000000
#> [369,] 41.433658
#> [370,] 42.253061
#> [371,] 0.000000
#> [372,] 27.007863
#> [373,] 39.117480
#> [374,] 60.738979
#> [375,] 0.000000
#> [376,] 0.000000
#> [377,] 0.000000
#> [378,] 0.000000
#> [379,] 418.000000
#> [380,] 0.000000
#> [381,] 12.964691
#> [382,] 401.000000
#> [383,] 0.000000
#> [384,] 294.000000
#> [385,] 0.000000
#> [386,] 9.000000
#> [387,] 650.000000
#> [388,] 0.000000
#> [389,] 0.000000
#> [390,] 0.000000
#> [391,] 0.000000
#> [392,] 0.000000
#> [393,] 87.672572
#> [394,] 798.000000
#> [395,] 93.000000
#> [396,] 90.047022
#> [397,] 0.000000
#> [398,] 0.000000
#> [399,] 0.000000
#> [400,] 0.000000
#> [401,] 150.000000
#> [402,] 0.000000
#> [403,] 0.000000
#> [404,] 54.000000
#> [405,] 0.000000
#> [406,] 15.000000
#> [407,] 367.000000
#> [408,] 0.000000
#> [409,] 0.000000
#> [410,] 0.000000
#> [411,] 0.000000
#> [412,] 1426.000000
#> [413,] 0.000000
#> [414,] 1.000000
#> [415,] 0.000000
#> [416,] 0.000000
#> [417,] 0.000000
#> [418,] 0.000000
#> [419,] 0.000000
#> [420,] 0.000000
#> [421,] 0.000000
#> [422,] 0.000000
#> [423,] 261.000000
#> [424,] 76.000000
#> [425,] 47.431684
#> [426,] -73.644213
#> [427,] 109.806203
#> [428,] 1.000000
#>
#> $Mestimate
#> Brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 2029878.583
#> [2,] 87186.042
#> [3,] 16895.401
#> [4,] 21086.000
#> [5,] 6827.981
#> [6,] 57945.000
#> [7,] 219433.000
#> [8,] 150654.000
#> [9,] 66791.925
#> [10,] 125085.000
#> [11,] 45299.157
#> [12,] 140472.000
#> Brutto.investeringsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 1603261.41
#> [2,] 73003.05
#> [3,] 69700.20
#> [4,] 12689.00
#> [5,] 31801.32
#> [6,] 96472.00
#> [7,] 176912.00
#> [8,] 285438.00
#> [9,] 45437.37
#> [10,] 78135.00
#> [11,] 72189.46
#> [12,] 75058.00
#> Energikostnader.til.kommunale.idrettsbygg..konsern
#> [1,] 185894.4204
#> [2,] 10626.1671
#> [3,] 2299.3733
#> [4,] 1875.0000
#> [5,] 679.0879
#> [6,] 6732.0000
#> [7,] 26295.0000
#> [8,] 14564.0000
#> [9,] 7258.1783
#> [10,] 12482.0000
#> [11,] 5906.6118
#> [12,] 16258.0000
#> Korrigerte.brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 1944442.663
#> [2,] 84885.084
#> [3,] 16697.187
#> [4,] 20718.000
#> [5,] 6628.065
#> [6,] 56639.000
#> [7,] 203480.000
#> [8,] 149605.000
#> [9,] 64943.541
#> [10,] 121992.000
#> [11,] 43367.881
#> [12,] 135417.000
#> Utgifter.til.vedlikeholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 235547.7391
#> [2,] 6656.4410
#> [3,] 2120.8792
#> [4,] 1435.0000
#> [5,] 520.2732
#> [6,] 11311.0000
#> [7,] 16303.0000
#> [8,] 11871.0000
#> [9,] 5337.8589
#> [10,] 14813.0000
#> [11,] 4127.7458
#> [12,] 10108.0000
#> Utgifter.til.renholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 86825.3558
#> [2,] 3153.6201
#> [3,] 1048.7121
#> [4,] 2664.0000
#> [5,] 436.9545
#> [6,] 4584.0000
#> [7,] 13683.0000
#> [8,] 9895.0000
#> [9,] 7950.8388
#> [10,] 8364.0000
#> [11,] 1842.6942
#> [12,] 9543.0000
#>
#> $Mcv
#> Brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 0.4162672
#> [2,] 4.0838444
#> [3,] 9.4366324
#> [4,] 0.0000000
#> [5,] 11.2767623
#> [6,] 0.0000000
#> [7,] 0.0000000
#> [8,] 0.0000000
#> [9,] 3.3590832
#> [10,] 0.0000000
#> [11,] 5.8334589
#> [12,] 0.0000000
#> Brutto.investeringsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 1.3923032
#> [2,] 5.9077376
#> [3,] 5.1596006
#> [4,] 0.0000000
#> [5,] 0.4750789
#> [6,] 0.0000000
#> [7,] 0.0000000
#> [8,] 0.0000000
#> [9,] 10.3924492
#> [10,] 0.0000000
#> [11,] 4.3462794
#> [12,] 0.0000000
#> Energikostnader.til.kommunale.idrettsbygg..konsern
#> [1,] 0.4940218
#> [2,] 4.4379007
#> [3,] 11.5305888
#> [4,] 0.0000000
#> [5,] 12.9960398
#> [6,] 0.0000000
#> [7,] 0.0000000
#> [8,] 0.0000000
#> [9,] 4.4916343
#> [10,] 0.0000000
#> [11,] 6.3018361
#> [12,] 0.0000000
#> Korrigerte.brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 0.5263609
#> [2,] 4.0604925
#> [3,] 9.4861974
#> [4,] 0.0000000
#> [5,] 11.5998512
#> [6,] 0.0000000
#> [7,] 0.0000000
#> [8,] 0.0000000
#> [9,] 3.4118299
#> [10,] 0.0000000
#> [11,] 6.0475542
#> [12,] 0.0000000
#> Utgifter.til.vedlikeholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 1.243867
#> [2,] 4.713571
#> [3,] 12.604267
#> [4,] 0.000000
#> [5,] 11.699891
#> [6,] 0.000000
#> [7,] 0.000000
#> [8,] 0.000000
#> [9,] 9.632953
#> [10,] 0.000000
#> [11,] 6.402532
#> [12,] 0.000000
#> Utgifter.til.renholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 1.544587
#> [2,] 8.992076
#> [3,] 15.816019
#> [4,] 0.000000
#> [5,] 16.786872
#> [6,] 0.000000
#> [7,] 0.000000
#> [8,] 0.000000
#> [9,] 4.469260
#> [10,] 0.000000
#> [11,] 12.010625
#> [12,] 0.000000
#>
#> $MestimateTotal
#> Brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 2967554
#> Brutto.investeringsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 2620097
#> Energikostnader.til.kommunale.idrettsbygg..konsern
#> [1,] 290869.8
#> Korrigerte.brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 2848815
#> Utgifter.til.vedlikeholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 320151.9
#> Utgifter.til.renholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 149991.2
#>
#> $McvTotal
#> Brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 0.3356723
#> Brutto.investeringsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 0.9047816
#> Energikostnader.til.kommunale.idrettsbygg..konsern
#> [1,] 0.4051386
#> Korrigerte.brutto.driftsutgifter..kommunale.idrettsbygg..konsern
#> [1,] 0.4025594
#> Utgifter.til.vedlikeholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 0.9418409
#> Utgifter.til.renholdsaktiviteter..kommunale.idrettsbygg..konsern
#> [1,] 0.9631741
#>
names(w)[4:9] = paste("y",1:6,sep="") # rename for nicer output
ImputeRegressionMulti(w, strataName = names(w)[2], method="ratio")
#> $micro
#> id x y strata category123 yHat yImputed
#> 1 101 30544 1.351167e+03 13 1 9389.16700 1.351167e+03
#> 2 104 32182 5.184333e+03 13 1 9892.68506 5.184333e+03
#> 3 105 54678 1.782583e+04 13 1 16807.91230 1.782583e+04
#> 4 106 78967 3.720733e+04 13 1 24274.30430 3.720733e+04
#> 5 111 4511 1.121833e+03 3 1 1181.73199 1.121833e+03
#> 6 118 1404 3.500000e+02 5 1 280.66637 3.500000e+02
#> 7 119 3610 5.850000e+02 1 1 452.16099 5.850000e+02
#> 8 121 672 1.816667e+01 4 1 81.71662 1.816667e+01
#> 9 122 5343 1.461000e+03 10 1 871.42682 1.461000e+03
#> 10 123 5736 9.746667e+02 11 1 1258.35174 9.746667e+02
#> 11 124 15615 2.914333e+03 8 1 4018.16111 2.914333e+03
#> 12 125 11396 4.465333e+03 10 1 1858.65245 4.465333e+03
#> 13 127 3742 0.000000e+00 2 1 562.46340 0.000000e+00
#> 14 128 8084 1.005500e+03 11 1 1773.45110 1.005500e+03
#> 15 135 7357 5.783333e+02 7 1 956.18796 5.783333e+02
#> 16 136 15458 2.321000e+03 7 1 2009.07347 2.321000e+03
#> 17 137 5186 6.833333e+01 1 1 649.55869 6.833333e+01
#> 18 138 5382 2.938333e+02 1 1 674.10815 2.938333e+02
#> 19 211 16732 4.457667e+03 7 1 2174.65502 4.457667e+03
#> 20 213 30261 9.276167e+03 13 1 9302.17334 9.276167e+03
#> 21 214 18992 4.669667e+03 7 1 2468.38681 4.669667e+03
#> 22 215 15695 1.700450e+04 8 2 4038.74727 1.700450e+04
#> 23 216 18623 5.191167e+03 7 1 2420.42795 5.191167e+03
#> 24 217 26792 5.536667e+03 13 1 8235.80940 5.536667e+03
#> 25 219 122348 3.547133e+04 13 1 37609.54047 3.547133e+04
#> 26 220 60106 3.548033e+04 13 1 18476.46908 3.548033e+04
#> 27 221 15914 2.991667e+02 7 1 2068.33971 2.991667e+02
#> 28 226 17443 1.548833e+03 7 1 2267.06356 1.548833e+03
#> 29 227 11374 5.313333e+02 7 1 1478.27673 5.313333e+02
#> 30 228 17426 4.609500e+03 7 1 2264.85407 4.609500e+03
#> 31 229 10870 1.148667e+03 7 1 1412.77194 1.148667e+03
#> 32 230 36368 1.255867e+04 13 1 11179.45343 1.255867e+04
#> 33 231 52522 2.294433e+04 13 1 16145.16203 2.294433e+04
#> 34 233 22857 4.150167e+03 13 1 7026.19795 4.150167e+03
#> 35 234 6323 1.333333e+02 7 1 821.79917 1.333333e+02
#> 36 235 34189 1.073117e+04 13 1 10509.63301 1.073117e+04
#> 37 236 20783 5.450000e+01 7 1 2701.16276 5.450000e+01
#> 38 237 23811 5.722000e+03 13 1 7319.45572 5.722000e+03
#> 39 238 12267 1.796833e+03 7 1 1594.33978 1.796833e+03
#> 40 239 2837 4.881667e+02 2 1 426.43204 4.881667e+02
#> 41 301 658390 2.199700e+05 13 1 202387.82284 2.199700e+05
#> 42 402 17835 4.593833e+03 8 1 4589.42705 4.593833e+03
#> 43 403 30120 2.236483e+04 13 1 9258.83021 2.236483e+04
#> 44 412 33597 3.106000e+03 13 1 10327.65334 3.106000e+03
#> 45 415 7588 1.413833e+03 7 1 986.21099 1.413833e+03
#> 46 417 20119 1.058217e+04 10 2 3281.34684 1.058217e+04
#> 47 418 5131 1.055500e+03 10 1 836.85027 1.055500e+03
#> 48 419 7901 1.193167e+03 7 1 1026.89154 1.193167e+03
#> 49 420 6142 6.005000e+02 11 1 1347.41918 6.005000e+02
#> 50 423 4763 6.295000e+02 2 1 715.93084 6.295000e+02
#> 51 425 7456 7.113333e+02 11 1 1635.68177 7.113333e+02
#> 52 426 3760 NaN 2 3 565.16900 5.651690e+02
#> 53 427 21030 3.082000e+03 13 1 6464.58165 3.082000e+03
#> 54 428 6525 4.833333e+00 11 1 1431.44092 4.833333e+00
#> 55 429 4429 0.000000e+00 2 1 665.72700 0.000000e+00
#> 56 430 2600 1.411667e+02 2 1 390.80835 1.411667e+02
#> 57 432 1881 2.473333e+02 3 1 492.75945 2.473333e+02
#> 58 434 1305 1.525000e+02 6 1 420.94726 1.525000e+02
#> 59 436 1620 9.508333e+02 5 1 323.84581 9.508333e+02
#> 60 437 5580 7.593333e+02 12 1 1908.98699 7.593333e+02
#> 61 438 2426 3.360000e+02 2 1 364.65425 3.360000e+02
#> 62 439 1592 0.000000e+00 2 1 239.29496 0.000000e+00
#> 63 441 1956 7.911667e+02 5 1 391.01383 7.911667e+02
#> 64 501 27476 9.637333e+03 13 1 8446.06969 9.637333e+03
#> 65 502 30137 1.421550e+04 13 1 9264.05598 1.421550e+04
#> 66 511 2701 4.538333e+02 2 1 405.98975 4.538333e+02
#> 67 512 2055 2.881667e+02 5 1 410.80441 2.881667e+02
#> 68 513 2204 1.366500e+03 3 1 577.37471 1.366500e+03
#> 69 514 2347 NaN 3 3 614.83595 6.148360e+02
#> 70 515 3664 6.971667e+02 2 1 550.73915 6.971667e+02
#> 71 516 5741 2.264333e+03 12 1 1964.06708 2.264333e+03
#> 72 517 5935 2.135167e+03 11 1 1302.00795 2.135167e+03
#> 73 519 3154 0.000000e+00 2 1 474.08059 0.000000e+00
#> 74 520 4462 6.606667e+02 2 1 670.68725 6.606667e+02
#> 75 521 5072 9.073333e+02 11 1 1112.68481 9.073333e+02
#> 76 522 6227 2.173667e+03 11 1 1366.06630 2.173667e+03
#> 77 528 14906 3.156667e+02 10 1 2431.12262 3.156667e+02
#> 78 529 13180 7.595000e+02 7 1 1713.00222 7.595000e+02
#> 79 532 6629 1.543667e+03 7 1 861.56993 1.543667e+03
#> 80 533 9044 6.772167e+03 7 2 1175.44705 6.772167e+03
#> 81 534 13695 1.341833e+03 10 1 2233.61225 1.341833e+03
#> 82 536 5758 7.725000e+02 10 1 939.11204 7.725000e+02
#> 83 538 6751 1.821667e+02 11 1 1481.02033 1.821667e+02
#> 84 540 3058 0.000000e+00 2 1 459.65075 0.000000e+00
#> 85 541 1321 4.375000e+02 6 1 426.10830 4.375000e+02
#> 86 542 6458 1.836667e+03 11 1 1416.74260 1.836667e+03
#> 87 543 2168 3.190000e+02 2 1 325.87404 3.190000e+02
#> 88 544 3220 0.000000e+00 2 1 484.00111 0.000000e+00
#> 89 545 1590 2.333333e+01 6 1 512.87827 2.333333e+01
#> 90 602 67895 2.920667e+04 13 1 20870.79274 2.920667e+04
#> 91 604 27013 0.000000e+00 13 1 8303.74437 0.000000e+00
#> 92 605 29801 8.698833e+03 13 1 9160.77023 8.698833e+03
#> 93 612 6767 9.061667e+02 8 1 1741.33181 9.061667e+02
#> 94 615 1074 2.599167e+03 5 2 214.69778 2.599167e+03
#> 95 616 3422 5.236667e+02 2 1 514.36391 5.236667e+02
#> 96 617 4578 1.153333e+03 2 1 688.12332 1.153333e+03
#> 97 618 2422 4.638333e+02 2 1 364.05301 4.638333e+02
#> 98 619 4711 2.683333e+02 3 1 1234.12534 2.683333e+02
#> 99 620 4497 4.511667e+02 3 1 1178.06446 4.511667e+02
#> 100 621 3512 3.583333e+01 2 1 527.89190 3.583333e+01
#> 101 622 2275 9.183333e+01 1 1 284.94910 9.183333e+01
#> 102 623 13794 1.568000e+03 10 1 2249.75885 1.568000e+03
#> 103 624 18205 2.884333e+03 7 1 2366.10056 2.884333e+03
#> 104 625 24431 2.371667e+03 13 1 7510.04253 2.371667e+03
#> 105 626 25731 8.612333e+03 13 1 7909.66003 8.612333e+03
#> 106 627 21492 1.658333e+03 13 1 6606.59957 1.658333e+03
#> 107 628 9413 6.666667e+00 7 1 1223.40591 6.666667e+00
#> 108 631 2699 8.221667e+02 1 1 338.05610 8.221667e+02
#> 109 632 1404 3.710000e+02 6 1 452.88119 3.710000e+02
#> 110 633 2548 7.368333e+02 6 1 821.89549 7.368333e+02
#> 111 701 27178 1.914667e+03 13 1 8354.46506 1.914667e+03
#> 112 702 10741 1.034167e+03 7 1 1396.00583 1.034167e+03
#> 113 704 42276 1.454900e+04 13 1 12995.56129 1.454900e+04
#> 114 706 45820 1.777533e+04 13 1 14084.98009 1.777533e+04
#> 115 709 43867 6.152667e+03 13 1 13484.63164 6.152667e+03
#> 116 711 6604 3.716667e+02 7 1 858.32069 3.716667e+02
#> 117 713 9297 1.004500e+03 10 1 1516.31202 1.004500e+03
#> 118 714 3163 1.070500e+03 2 1 475.43339 1.070500e+03
#> 119 716 9361 1.535500e+03 8 1 2408.83805 1.535500e+03
#> 120 719 5937 5.213333e+02 10 1 968.30639 5.213333e+02
#> 121 720 11657 1.129000e+03 7 1 1515.05819 1.129000e+03
#> 122 722 21621 3.295000e+03 13 1 6646.25392 3.295000e+03
#> 123 723 4971 4.468333e+02 1 1 622.62944 4.468333e+02
#> 124 728 2474 0.000000e+00 1 1 309.87432 0.000000e+00
#> 125 805 35955 6.045500e+03 13 1 11052.49802 6.045500e+03
#> 126 806 53952 3.463967e+04 13 1 16584.74129 3.463967e+04
#> 127 807 12717 3.968000e+03 11 1 2789.82900 3.968000e+03
#> 128 811 2335 3.266667e+01 1 1 292.46424 3.266667e+01
#> 129 814 14088 2.291667e+03 8 1 3625.22278 2.291667e+03
#> 130 815 10607 1.900667e+03 11 1 2326.94159 1.900667e+03
#> 131 817 4136 6.733333e+02 2 1 621.68590 6.733333e+02
#> 132 819 6534 1.710167e+03 11 1 1433.41532 1.710167e+03
#> 133 821 6101 8.883333e+01 11 1 1338.42469 8.883333e+01
#> 134 822 4338 1.890000e+02 1 1 543.34470 1.890000e+02
#> 135 826 5940 1.448000e+03 12 1 2032.14744 1.448000e+03
#> 136 827 1613 0.000000e+00 5 1 322.44648 0.000000e+00
#> 137 828 2991 3.988333e+02 2 1 449.57991 3.988333e+02
#> 138 829 2448 1.031500e+03 2 1 367.96109 1.031500e+03
#> 139 830 1443 8.210000e+02 5 1 288.46266 8.210000e+02
#> 140 831 1323 6.256667e+02 6 1 426.75343 6.256667e+02
#> 141 833 2246 1.016667e+03 3 1 588.37731 1.016667e+03
#> 142 834 3727 0.000000e+00 3 1 976.35006 0.000000e+00
#> 143 901 6920 1.224500e+03 11 1 1518.09520 1.224500e+03
#> 144 904 22550 4.048000e+03 13 1 6931.82674 4.048000e+03
#> 145 906 44313 1.072017e+04 13 1 13621.73118 1.072017e+04
#> 146 911 2473 0.000000e+00 2 1 371.71887 0.000000e+00
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#> 420 2020 3978 0.000000e+00 3 1 1042.10372 0.000000e+00
#> 421 2021 2668 1.726167e+03 3 1 698.92728 1.726167e+03
#> 422 2022 1318 6.226667e+02 6 1 425.14060 6.226667e+02
#> 423 2023 1139 6.248333e+02 6 1 367.40148 6.248333e+02
#> 424 2024 1000 5.100000e+02 6 1 322.56495 5.100000e+02
#> 425 2025 2922 NaN 6 3 942.53478 9.425348e+02
#> 426 2027 959 NaN 13 3 294.79476 2.947948e+02
#> 427 2028 2211 NaN 3 3 579.20848 5.792085e+02
#> 428 2030 10227 7.010333e+03 12 1 3498.78315 7.010333e+03
#> rStud dffits hii leaveOutResid
#> 1 -1.665688165 -0.1672434437 0.0099805513 -8119.032755
#> 2 -0.935827930 -0.0964744678 0.0105157838 -4758.389923
#> 3 0.154666341 0.0208608109 0.0178665722 1036.438642
#> 4 1.680999576 0.2735781399 0.0258032409 13275.582079
#> 5 -0.067174283 -0.0145516501 0.0448231320 -62.709495
#> 6 0.237525050 0.0449394863 0.0345591493 71.815512
#> 7 0.290721440 0.0680421565 0.0519327320 140.115599
#> 8 -0.557710457 -0.1136274898 0.0398552873 -66.187895
#> 9 0.678942111 0.1208739220 0.0307219044 608.260091
#> 10 -0.301323933 -0.0357418393 0.0138745437 -287.676458
#> 11 -0.423481084 -0.1050694475 0.0579883986 -1171.777264
#> 12 2.366965874 0.6267814664 0.0655262628 2789.464042
#> 13 -1.167414312 -0.1743610694 0.0218206416 -575.010502
#> 14 -0.691807107 -0.0976992251 0.0195540118 -783.267114
#> 15 -0.410614602 -0.0587724833 0.0200757514 -385.595753
#> 16 0.236040333 0.0495343921 0.0421817269 325.663582
#> 17 -1.107616584 -0.3144916050 0.0746047502 -628.083361
#> 18 -0.698621027 -0.2023855463 0.0774243667 -412.188232
#> 19 1.753950563 0.3836408391 0.0456582129 2392.236908
#> 20 -0.005289138 -0.0005285654 0.0098880782 -26.266400
#> 21 1.576807329 0.3686424329 0.0518252916 2321.597312
#> 22 4.780195774 NaN NaN 12965.752730
#> 23 2.062372973 0.4772027012 0.0508183659 2919.081679
#> 24 -0.584780603 -0.0549565210 0.0087545485 -2722.981202
#> 25 -0.219722862 -0.0448381302 0.0399784077 -2227.249004
#> 26 2.606331398 0.3689012415 0.0196402244 17344.514405
#> 27 -1.363602230 -0.2905384617 0.0434260578 -1849.489060
#> 28 -0.515075387 -0.1151481203 0.0475983867 -754.125380
#> 29 -0.840478429 -0.1504233255 0.0310373245 -977.275408
#> 30 1.768307041 0.3951130914 0.0475519972 2461.704910
#> 31 -0.236785839 -0.0413994438 0.0296620113 -272.178637
#> 32 0.256269624 0.0281039327 0.0118836003 1395.800375
#> 33 1.063710680 0.1405618628 0.0171620781 6917.896785
#> 34 -0.674829307 -0.0585390625 0.0074687487 -2897.673274
#> 35 -0.813126504 -0.1077419002 0.0172541764 -700.553306
#> 36 0.042415689 0.0045084117 0.0111715907 224.036504
#> 37 -1.845068128 -0.4524077407 0.0567125650 -2805.786085
#> 38 -0.366287073 -0.0324355177 0.0077804775 -1609.982147
#> 39 0.171149341 0.0318510095 0.0334741392 209.506611
#> 40 0.144832143 0.0187844670 0.0165433351 62.773108
#> 41 0.866584506 0.4537007181 0.2151353831 22401.541339
#> 42 0.001581278 0.0004211386 0.0662326666 4.718822
#> 43 2.852919955 0.2844324423 0.0098420051 13236.274603
#> 44 -1.418646713 -0.1494637490 0.0109781489 -7301.813741
#> 45 0.458063474 0.0666067627 0.0207061032 436.663952
#> 46 4.096938851 NaN NaN 7300.819831
#> 47 0.254008751 0.0442877941 0.0295029181 225.296637
#> 48 0.174047254 0.0258360836 0.0215602163 169.939045
#> 49 -0.770997942 -0.0946810755 0.0148565983 -758.183203
#> 50 -0.157400014 -0.0266037827 0.0277743762 -88.899979
#> 51 -0.868800491 -0.1177415587 0.0180349718 -941.325206
#> 52 NaN NaN NaN NaN
#> 53 -0.828832064 -0.0689442137 0.0068717585 -3405.986771
#> 54 -1.451009015 -0.1837467751 0.0157830192 -1449.484837
#> 55 -1.275955216 -0.2077552624 0.0258267294 -683.376372
#> 56 -0.613520070 -0.0761228021 0.0151613223 -253.484850
#> 57 -0.421869349 -0.0582215856 0.0186903816 -250.100592
#> 58 -0.513496096 -0.0757291632 0.0212866604 -274.285887
#> 59 2.164212227 0.4410538784 0.0398759415 653.027611
#> 60 -0.812728604 -0.1548163958 0.0350157194 -1191.370348
#> 61 -0.072596008 -0.0086962868 0.0141466800 -29.065433
#> 62 -0.750712169 -0.0726694933 0.0092833943 -241.537245
#> 63 1.198083776 0.2694539325 0.0481465072 420.393302
#> 64 0.254281743 0.0242027440 0.0089780522 1202.055767
#> 65 1.018029704 0.1015251728 0.0098475600 5000.688601
#> 66 0.114978978 0.0145448736 0.0157502814 48.609189
#> 67 -0.350603150 -0.0809265967 0.0505833703 -129.171683
#> 68 1.288972555 0.1928734667 0.0218998410 806.793951
#> 69 NaN NaN NaN NaN
#> 70 0.303239692 0.0448059254 0.0213658019 149.624358
#> 71 0.205458256 0.0397190766 0.0360260296 311.487924
#> 72 0.876191233 0.1057435740 0.0143558956 845.293663
#> 73 -1.067575792 -0.1461309979 0.0183918502 -482.963179
#> 74 -0.018832461 -0.0030780701 0.0260191616 -10.288281
#> 75 -0.231681986 -0.0258206520 0.0122684250 -207.902105
#> 76 0.828783888 0.1024899106 0.0150622008 819.950624
#> 77 -1.582684974 -0.4845785483 0.0857085358 -2313.765395
#> 78 -0.786948977 -0.1519999780 0.0359655299 -989.074821
#> 79 0.786519470 0.1067537139 0.0180891880 694.662616
#> 80 5.445790507 NaN NaN 5596.719619
#> 81 -0.657445843 -0.1922129475 0.0787453641 -968.004811
#> 82 -0.182896611 -0.0338441813 0.0331081275 -172.317135
#> 83 -1.293628217 -0.1666761783 0.0163296801 -1320.415631
#> 84 -1.050532452 -0.1415523877 0.0178320475 -467.996074
#> 85 0.021584370 0.0032030923 0.0215476462 11.642575
#> 86 0.421105379 0.0530473157 0.0156209560 426.587773
#> 87 -0.018407675 -0.0020829228 0.0126422103 -6.962056
#> 88 -1.079161761 -0.1492837126 0.0187767145 -493.262970
#> 89 -0.855706270 -0.1396297376 0.0259354712 -502.579571
#> 90 1.151858401 0.1735018185 0.0221853565 8525.004184
#> 91 -1.837750296 -0.1734252927 0.0088267624 -8377.692273
#> 92 -0.094669353 -0.0093878044 0.0097377687 -466.479360
#> 93 -0.479071227 -0.0769173694 0.0251301629 -856.694005
#> 94 9.209123287 NaN NaN 2384.468887
#> 95 0.019902259 0.0028398876 0.0199546327 9.492165
#> 96 0.869964219 0.1440777128 0.0266955898 477.969696
#> 97 0.253149449 0.0302994421 0.0141233549 101.209744
#> 98 -1.083704702 -0.2401555076 0.0468104134 -1013.221316
#> 99 -0.826595600 -0.1787704355 0.0446840223 -760.897763
#> 100 -1.050820309 -0.1519430365 0.0204794477 -502.346338
#> 101 -0.529933924 -0.0974776452 0.0327276912 -199.649843
#> 102 -0.498457108 -0.1463014926 0.0793146077 -740.490567
#> 103 0.363293347 0.0830620908 0.0496777292 545.323187
#> 104 -1.175692590 -0.1054676258 0.0079830686 -5179.725969
#> 105 0.154893118 0.0142629128 0.0084078564 708.631371
#> 106 -1.207308882 -0.1015316549 0.0070227216 -4983.262297
#> 107 -1.199389577 -0.1947423423 0.0256861557 -1248.816541
#> 108 1.267074771 0.2546654034 0.0388272697 503.666569
#> 109 -0.150637716 -0.0230619812 0.0229015105 -83.800341
#> 110 -0.117274755 -0.0244214105 0.0415620005 -88.750814
#> 111 -1.404583808 -0.1329559393 0.0088806778 -6497.500600
#> 112 -0.326598058 -0.0567520043 0.0293099967 -372.764903
#> 113 0.267991019 0.0317177300 0.0138140972 1575.198656
#> 114 0.613485640 0.0756348579 0.0149721339 3746.445526
#> 115 -1.258104789 -0.1517173323 0.0143339720 -7438.589506
#> 116 -0.559074291 -0.0757368909 0.0180209681 -495.584942
#> 117 -0.448960299 -0.1066941712 0.0534571486 -540.717221
#> 118 1.346946952 0.1846394451 0.0184443317 606.248457
#> 119 -0.427538532 -0.0811370179 0.0347633301 -904.791620
#> 120 -0.486176481 -0.0914010672 0.0341373660 -462.770829
#> 121 -0.334953031 -0.0607131050 0.0318095737 -398.741999
#> 122 -0.809717730 -0.0683007400 0.0070648736 -3375.098564
#> 123 -0.331534319 -0.0920087569 0.0715118035 -189.335851
#> 124 -0.825528248 -0.1585871603 0.0355904651 -321.309884
#> 125 -0.942206943 -0.1027321902 0.0117486485 -5066.522814
#> 126 2.962320441 0.3968372471 0.0176293446 18378.933936
#> 127 0.853235172 0.1520023597 0.0307605601 1215.562381
#> 128 -0.708250866 -0.1320434983 0.0335908391 -268.827721
#> 129 -0.538563541 -0.1265405727 0.0523176791 -1407.176313
#> 130 -0.335042732 -0.0543682415 0.0256567792 -437.499758
#> 131 0.100729394 0.0158354254 0.0241181650 52.923860
#> 132 0.275652420 0.0349313633 0.0158047888 281.195579
#> 133 -1.308643593 -0.1601603814 0.0147574253 -1268.308317
#> 134 -0.719853354 -0.1857155575 0.0624055932 -377.929620
#> 135 -0.394595761 -0.0776441778 0.0372747981 -606.764465
#> 136 -1.052539903 -0.2140183834 0.0397036381 -335.778091
#> 137 -0.115992542 -0.0154539997 0.0174413519 -51.647382
#> 138 1.722473002 0.2072822450 0.0142749681 673.148074
#> 139 1.912518868 0.3670202713 0.0355191257 552.149197
#> 140 0.377332628 0.0560389761 0.0215802695 203.300521
#> 141 0.678472632 0.1025068533 0.0223171701 438.065742
#> 142 -1.232940408 -0.2417857847 0.0370329889 -1013.897726
#> 143 -0.284305383 -0.0370944032 0.0167384663 -298.593193
#> 144 -0.681265362 -0.0586961816 0.0073684334 -2905.233758
#> 145 -0.489794513 -0.0593691752 0.0144797069 -2944.195606
#> 146 -0.941069214 -0.1138334019 0.0144207500 -377.157764
#> 147 1.876025291 0.3258739860 0.0292894854 615.170920
#> 148 -0.905248961 -0.1713259330 0.0345801110 -853.892547
#> 149 3.137728577 NaN NaN 2936.868183
#> 150 0.333690285 0.0540701336 0.0255842136 435.104898
#> 151 -0.992409590 -0.1745689811 0.0300135869 -577.826194
#> 152 -0.204157315 -0.0359823558 0.0301275568 -130.715600
#> 153 NaN NaN NaN NaN
#> 154 2.312955415 0.5391197235 0.0515299297 977.025466
#> 155 5.324888332 NaN NaN 2702.631803
#> 156 2.126698298 0.3058155441 0.0202590285 1049.298776
#> 157 4.368679183 NaN NaN 3783.008813
#> 158 0.196627074 0.0339209033 0.0289009238 1685.096057
#> 159 3.092623165 0.7650619092 0.0576690261 6991.495055
#> 160 2.606485994 0.4041255050 0.0234749733 3051.060866
#> 161 0.677747244 0.1016550042 0.0220018915 815.139729
#> 162 5.300001909 NaN NaN 13692.331946
#> 163 0.197001193 0.0385656206 0.0369088348 196.327106
#> 164 -0.698983765 -0.1244510550 0.0307262417 -811.735069
#> 165 2.549849451 1.0108520623 0.1358163810 456.343388
#> 166 0.520382620 0.0650068661 0.0153655433 235.427965
#> 167 -0.284263581 -0.0967372293 0.1037898108 -57.059206
#> 168 -0.181833444 -0.0313257853 0.0288240062 -104.670489
#> 169 0.154842098 0.0224303562 0.0205529983 180.658902
#> 170 1.366705690 0.2857893551 0.0418943534 442.639417
#> 171 -1.214174682 -0.2397669783 0.0375320821 -1801.626164
#> 172 0.108758001 0.0026617563 0.0005986239 132.259222
#> 173 2.638077571 0.8087797009 0.0859155335 3500.230023
#> 174 0.465060911 0.0736220362 0.0244481681 3651.754248
#> 175 2.869980421 NaN NaN 30070.488885
#> 176 0.094282045 0.0104230354 0.0120741013 517.920248
#> 177 -0.967888035 -0.2165244003 0.0476601499 -435.727895
#> 178 3.400192114 NaN NaN 1562.041737
#> 179 -0.556328639 -0.0719994943 0.0164733598 -239.913825
#> 180 -1.767132986 -0.4085182814 0.0507310444 -2545.399700
#> 181 0.503900181 0.1177350505 0.0517652581 771.228710
#> 182 -0.606720189 -0.1651335891 0.0689696150 -1832.640207
#> 183 0.453112196 0.0972287121 0.0440177066 1083.600682
#> 184 0.259304986 0.0240475995 0.0085271237 1194.323814
#> 185 0.480881834 0.0979975314 0.0398732908 1091.432329
#> 186 0.609990773 0.0122711639 0.0004045286 607.853736
#> 187 -0.925505117 -0.2038910662 0.0462867371 -2234.763650
#> 188 0.220114815 0.0368034619 0.0271959459 158.473520
#> 189 1.116997830 0.0399156337 0.0012753435 1962.561562
#> 190 6.848569791 NaN NaN 6415.303292
#> 191 -1.079336506 -0.1493315119 0.0187825458 -493.419089
#> 192 -0.198616870 -0.0339058757 0.0283166850 -113.284252
#> 193 0.010833716 0.0019402467 0.0310776348 1.149548
#> 194 7.300894205 NaN NaN 1692.248995
#> 195 -0.952170646 -0.2583222068 0.0685567625 -1973.365100
#> 196 -1.426730769 -0.1686785502 0.0137850156 -8238.943493
#> 197 3.115481032 NaN NaN 191.846243
#> 198 -0.684150478 -0.1008247336 0.0212568847 -808.410782
#> 199 0.279812535 0.0883404870 0.0906402270 4387.011877
#> 200 0.193814483 0.0485605487 0.0590680880 100.128230
#> 201 -0.761602515 -0.0891894168 0.0135286477 -714.311031
#> 202 -1.723654226 -0.2951663899 0.0284892567 -2308.946640
#> 203 -0.525794769 -0.1439460554 0.0697234828 -1601.295676
#> 204 -1.123149090 -0.2015579468 0.0312003180 -849.066735
#> 205 -0.866397183 -0.1115619305 0.0163100840 -370.123003
#> 206 -1.807747403 -0.3292147202 0.0321006050 -2567.964239
#> 207 -0.742208782 -0.1005090495 0.0180080253 -362.642171
#> 208 0.471641702 0.1005652330 0.0434872644 784.266941
#> 209 -0.272095895 -0.0387040981 0.0198321758 -129.271113
#> 210 0.350936551 0.0061021014 0.0003022528 302.914998
#> 211 5.123221829 NaN NaN 2501.684185
#> 212 -0.732082715 -0.1114361239 0.0226455964 -176.577814
#> 213 0.421707348 0.0801836639 0.0348919619 644.805373
#> 214 0.074116763 0.0107223212 0.0204997835 86.376160
#> 215 3.071927125 0.4671420295 0.0226020328 1432.096562
#> 216 -0.644887193 -0.1017176635 0.0242746423 -435.045331
#> 217 0.257021045 0.0722932342 0.0733145671 808.635091
#> 218 1.073854139 0.2485671500 0.0508545310 1049.105986
#> 219 -1.036556864 -0.1690299289 0.0259025988 -1842.583529
#> 220 -1.026336082 -0.0928995604 0.0081265162 -4575.170482
#> 221 -1.001247234 -0.0968690258 0.0092734431 -4772.717071
#> 222 0.502314652 0.1038461536 0.0409876789 445.479684
#> 223 -0.211320456 -0.0023580085 0.0001244955 -117.133252
#> 224 -0.647827654 -0.1418518701 0.0457522353 -714.624488
#> 225 -1.102602763 -0.1905866964 0.0290109107 -2070.299810
#> 226 0.525408572 0.1182502309 0.0482114467 507.049610
#> 227 0.295366370 0.0512188152 0.0291924216 260.391761
#> 228 0.308169585 0.1015419646 0.0979373357 795.013875
#> 229 4.563866526 NaN NaN 1966.078102
#> 230 2.172141669 0.2604942422 0.0141781125 385.486966
#> 231 0.916976956 0.1549063542 0.0277460607 556.765062
#> 232 2.262736823 0.3899296007 0.0288399904 2989.061576
#> 233 -1.078200931 -0.2683639010 0.0583370256 -420.647062
#> 234 1.052166324 0.1476910271 0.0193226013 231.718791
#> 235 -0.150100012 -0.0450794729 0.0827353063 -26.675277
#> 236 3.970206351 NaN NaN 3486.456369
#> 237 -1.033412749 -0.1712240554 0.0267189984 -723.766907
#> 238 0.831180052 0.1507610782 0.0318515237 238.244957
#> 239 1.463424292 0.1705519320 0.0134002764 558.232681
#> 240 -1.028037415 -0.1780139620 0.0291111788 -1941.368549
#> 241 -0.455443588 -0.0109376341 0.0005764043 -542.562951
#> 242 -1.058339953 -0.2028320001 0.0354288324 -726.344607
#> 243 0.952958449 0.1777699308 0.0336288961 1357.952967
#> 244 2.145492781 0.3898356943 0.0319596880 2697.671813
#> 245 -0.591946953 -0.1262186982 0.0434882684 -258.025610
#> 246 -0.047469773 -0.0061490158 0.0165025162 -20.552358
#> 247 2.163153243 0.2857907102 0.0171556193 913.456227
#> 248 NaN NaN NaN NaN
#> 249 -0.094262805 -0.0211443743 0.0479058817 -236.865558
#> 250 1.512205184 0.1962356948 0.0165608290 641.405912
#> 251 -1.061010575 -0.2744994898 0.0627344795 -982.914056
#> 252 -0.082754177 -0.0100815631 0.0146243883 -81.213261
#> 253 -0.878213481 -0.1790455290 0.0399062046 -361.891747
#> 254 -0.052239629 -0.0063475372 0.0145494039 -51.135509
#> 255 -1.010843803 -0.2798110952 0.0711701560 -157.103633
#> 256 1.813113067 0.2159749076 0.0139906487 1684.349930
#> 257 -0.244956851 -0.0507878203 0.0412155363 -258.395253
#> 258 0.250230916 0.0234896260 0.0087349429 1166.658516
#> 259 -0.193226079 -0.0240657527 0.0152750403 -1195.533265
#> 260 -1.113527369 -0.1000865732 0.0080141108 -4921.352274
#> 261 0.357972487 0.0498007924 0.0189866405 166.244113
#> 262 -0.480369674 -0.0939122966 0.0368132580 -192.611420
#> 263 -0.515813227 -0.0957623990 0.0333187264 -1065.574775
#> 264 10.985259985 NaN NaN 12637.310807
#> 265 -0.086491277 -0.0151678191 0.0298364143 -77.282389
#> 266 -1.339232164 -0.2002037022 0.0218591792 -1584.146396
#> 267 0.005951684 0.0015221374 0.0613920593 7.757130
#> 268 2.906054087 NaN NaN 1081.833736
#> 269 -0.698972898 -0.1163176376 0.0269467915 -420.029062
#> 270 -0.853425562 -0.1416555751 0.0268122154 -470.066393
#> 271 NaN NaN NaN NaN
#> 272 0.478614355 0.0700013737 0.0209435085 458.756268
#> 273 1.393859832 0.3719128334 0.0664623883 729.305526
#> 274 -0.332697372 -0.0526459916 0.0244281808 -345.769682
#> 275 -0.793301962 -0.1121033091 0.0195782003 -897.380643
#> 276 -0.980587520 -0.2317467755 0.0528994049 -1150.696091
#> 277 -0.348558299 -0.0444338827 0.0159910406 -357.524615
#> 278 0.893303042 0.1213594858 0.0181220505 969.829257
#> 279 -0.458689169 -0.0608936874 0.0173188951 -203.107653
#> 280 -1.443854278 -0.5428180270 0.1238360714 -289.791918
#> 281 -0.925858576 -0.1663186833 0.0312607690 -262.071688
#> 282 -0.245348574 -0.0083232996 0.0011495410 -413.401673
#> 283 -0.871903253 -0.2121047858 0.0558721214 -1058.803665
#> 284 1.301083031 0.2980977330 0.0498755628 588.256384
#> 285 -0.543543044 -0.0649839078 0.0140922406 -521.951220
#> 286 -0.019015540 -0.0023561353 0.0151205034 -7.875253
#> 287 -0.109804118 -0.0149058424 0.0180944550 -49.816132
#> 288 0.671542229 0.1456554681 0.0449305647 1127.990036
#> 289 0.516694070 0.0625384489 0.0144381366 502.454371
#> 290 -0.851433915 -0.0933286967 0.0118724816 -309.710028
#> 291 0.303440697 0.0603736265 0.0380790627 96.418776
#> 292 -0.536485432 -0.1020548932 0.0349231723 -369.516231
#> 293 -0.131498847 -0.0250934002 0.0351351351 -108.112979
#> 294 -1.051652710 -0.2685560458 0.0612194284 -13220.113901
#> 295 1.551436794 0.2476185010 0.0248412435 808.424484
#> 296 NaN NaN NaN NaN
#> 297 -1.300101423 -0.2852435785 0.0459260731 -1192.580856
#> 298 1.642052892 0.3674403522 0.0476848172 1509.991942
#> 299 0.566793906 0.0796056038 0.0193443207 884.527574
#> 300 1.544742996 0.5228351269 0.1027815669 275.403237
#> 301 -1.325181661 -0.1693608802 0.0160708627 -1340.591355
#> 302 0.136347987 0.0230853476 0.0278676766 77.147442
#> 303 -0.823019664 -0.1147841487 0.0190799410 -381.088423
#> 304 -0.799200685 -0.1243981186 0.0236548023 -196.762923
#> 305 0.275506764 0.0432250573 0.0240240240 69.051795
#> 306 0.614065926 0.0799191039 0.0166562253 641.379950
#> 307 0.471442724 0.0580589217 0.0149397337 193.629571
#> 308 -1.201737383 -0.1846184620 0.0230568725 -608.356105
#> 309 1.617681683 0.2947997374 0.0321424868 1852.461550
#> 310 -1.347687205 -0.1584240000 0.0136302395 -1253.277041
#> 311 0.939400057 0.1028429453 0.0118433252 340.754216
#> 312 1.925463364 0.3732308691 0.0362130926 1732.038084
#> 313 2.639003270 NaN NaN 3652.005785
#> 314 -0.557534131 -0.0819770780 0.0211618121 -536.434544
#> 315 1.432842427 0.1748640382 0.0146751843 1380.121028
#> 316 0.887600181 0.2058020482 0.0510179071 2259.622901
#> 317 0.629618391 0.1582820922 0.0594421187 323.167018
#> 318 2.556685820 0.3033374490 0.0138811862 1016.439955
#> 319 -1.400708853 -0.1185910971 0.0071171552 -5796.022134
#> 320 0.894832311 0.1612977801 0.0314692842 1288.955786
#> 321 1.645363897 0.2638447509 0.0250695548 1084.068344
#> 322 0.745048095 0.0652696481 0.0076161174 3228.084320
#> 323 -0.853384174 -0.1692584592 0.0378490354 -342.502318
#> 324 0.420778695 0.2165646292 0.2094181840 127.066229
#> 325 2.706597627 0.7585444801 0.0728243674 7220.657325
#> 326 -1.092642383 -0.2643016556 0.0552774456 -2872.602530
#> 327 -0.552492373 -0.0675669613 0.0147356390 -225.153435
#> 328 -0.777488263 -0.1585494327 0.0399251711 -250.930742
#> 329 -0.915335702 -0.1348855647 0.0212539746 -572.515091
#> 330 0.963245627 0.1802864271 0.0338453207 283.733935
#> 331 -0.163039610 -0.0143151418 0.0076501484 -52.014210
#> 332 -0.655382845 -0.0784957210 0.0141421721 -283.675599
#> 333 2.132191213 0.4365021159 0.0402244479 1497.282189
#> 334 -0.478750705 -0.0852999221 0.0307684734 -135.895664
#> 335 -0.813574399 -0.1228833612 0.0223046376 -408.040402
#> 336 46.537695805 NaN NaN 5162.525858
#> 337 0.128914663 0.0215360040 0.0271501009 34.440031
#> 338 1.396659645 0.2981722790 0.0435910175 1241.015688
#> 339 -0.853204069 -0.0955996388 0.0123990431 -764.510412
#> 340 -0.605220113 -0.0716810497 0.0138335056 -113.922457
#> 341 1.528463934 0.1972000698 0.0163732194 1552.110578
#> 342 -0.114745576 -0.0148612930 0.0164974487 -738.429878
#> 343 0.659111256 0.1438107320 0.0454430009 1153.463892
#> 344 -0.999313407 -0.1932829919 0.0360606508 -303.816382
#> 345 -0.058395713 -0.0083806490 0.0201808426 -36.116659
#> 346 0.110635825 0.0155036682 0.0192589117 124.884819
#> 347 NaN NaN NaN NaN
#> 348 NaN NaN NaN NaN
#> 349 NaN NaN NaN NaN
#> 350 -0.335926325 -0.0743250917 0.0466688002 -581.598838
#> 351 -0.358317868 -0.0409977004 0.0129221116 -136.857451
#> 352 -0.467205466 -0.1417180337 0.0842573593 -1105.342630
#> 353 -0.910178113 -0.1758557420 0.0359868065 -277.237752
#> 354 -0.019018302 -0.0029757136 0.0238965191 -10.816115
#> 355 NaN NaN NaN NaN
#> 356 -0.712318302 -0.1252290801 0.0299807523 -452.095194
#> 357 -0.515424482 -0.1113296901 0.0445747218 -477.465725
#> 358 -0.043309106 -0.0040120023 0.0085084984 -199.368301
#> 359 NaN NaN NaN NaN
#> 360 NaN NaN NaN NaN
#> 361 12.326017573 NaN NaN 3475.854018
#> 362 -0.898767947 -0.1849053242 0.0406069391 -1416.669034
#> 363 -0.633400767 -0.1176036909 0.0333246338 -425.168782
#> 364 -0.717531667 -0.0939817528 0.0168662121 -339.254087
#> 365 NaN NaN NaN NaN
#> 366 0.268166078 0.0679113166 0.0602671988 532.086910
#> 367 NaN NaN NaN NaN
#> 368 0.301599791 0.0485597401 0.0252682830 208.931231
#> 369 NaN NaN NaN NaN
#> 370 NaN NaN NaN NaN
#> 371 0.994999694 0.2348586283 0.0527740856 369.222788
#> 372 NaN NaN NaN NaN
#> 373 NaN NaN NaN NaN
#> 374 NaN NaN NaN NaN
#> 375 -0.498397997 -0.0474636437 0.0089877010 -171.945346
#> 376 -0.779487981 -0.1699343440 0.0453709744 -97.446881
#> 377 -0.700971509 -0.1292595326 0.0328853444 -204.980360
#> 378 -1.495179008 -0.2494773096 0.0270863216 -1965.498737
#> 379 0.708651260 0.1077979750 0.0226162803 864.024134
#> 380 0.022553210 0.0031846349 0.0195491741 25.655874
#> 381 NaN NaN NaN NaN
#> 382 3.084779865 0.5080648151 0.0264098572 1556.515945
#> 383 0.680178245 0.1082574292 0.0247061698 868.053544
#> 384 0.714848788 0.0789342078 0.0120458905 632.618414
#> 385 -0.842258263 -0.1379931226 0.0261408950 -217.997574
#> 386 -0.315513697 -0.0494873827 0.0240103099 -2457.106923
#> 387 -0.454337503 -0.0409785656 0.0080693332 -2032.765349
#> 388 0.847155518 0.1931364246 0.0494078883 695.304291
#> 389 0.544688992 0.0731853037 0.0177329158 243.896197
#> 390 -0.169433951 -0.0259301476 0.0228851988 -94.214744
#> 391 -0.873122877 -0.1481554158 0.0279870034 -233.836157
#> 392 -0.723592352 -0.0955649816 0.0171435096 -344.929054
#> 393 NaN NaN NaN NaN
#> 394 0.532892446 0.0143901258 0.0007286743 713.355416
#> 395 0.557157137 0.0717322614 0.0163054915 576.066494
#> 396 NaN NaN NaN NaN
#> 397 -0.692660420 -0.1186457243 0.0285039137 -188.187190
#> 398 -1.027608881 -0.2041817236 0.0379806036 -320.630897
#> 399 -0.861468468 -0.2061207248 0.0541486270 -117.378626
#> 400 -0.314773263 -0.0477807509 0.0225225225 -76.298003
#> 401 -1.737931504 -0.4873609906 0.0729054889 -3510.064408
#> 402 -1.089982801 -0.1288888127 0.0137898839 -1025.988446
#> 403 -0.518650736 -0.1019808200 0.0372231103 -369.341240
#> 404 -0.912061029 -0.2017944172 0.0466675366 -725.376516
#> 405 -0.297911975 -0.0527696636 0.0304211660 -191.578330
#> 406 4.345632138 0.8284623757 0.0350699768 2450.248867
#> 407 -0.640869615 -0.1107820449 0.0290143084 -473.858234
#> 408 -0.899085227 -0.2032914709 0.0486387122 -863.317893
#> 409 -0.257968081 -0.0369273472 0.0200796007 -134.103529
#> 410 3.829336379 NaN NaN 2386.510397
#> 411 -1.000972500 -0.2007184857 0.0386553462 -1529.016838
#> 412 3.167951912 NaN NaN 6381.215234
#> 413 -0.181560358 -0.0315835925 0.0293720191 -136.036021
#> 414 0.853325846 0.3241658945 0.1261130669 2489.530095
#> 415 -0.682352283 -0.0856529412 0.0155123479 -309.391995
#> 416 -0.707372261 -0.0935583593 0.0171924445 -337.790906
#> 417 -0.149218511 -0.0195541381 0.0168825237 -71.054296
#> 418 -0.249745130 -0.0355124349 0.0198186148 -128.972467
#> 419 2.094304054 0.3841602949 0.0325516693 1535.617175
#> 420 -1.277958789 -0.2592515432 0.0395270270 -1084.990151
#> 421 1.548134176 0.2554762448 0.0265103339 1055.213449
#> 422 0.375388221 0.0556424385 0.0214987114 201.865923
#> 423 0.526456455 0.0724344452 0.0185789319 262.305209
#> 424 0.408005498 0.0525394780 0.0163116171 190.543119
#> 425 NaN NaN NaN NaN
#> 426 NaN NaN NaN NaN
#> 427 NaN NaN NaN NaN
#> 428 2.050523828 0.5369779337 0.0641766600 3752.364400
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 13 63 1 1015959.628 0.08586282 982106.130 1015664.83
#> 2 3 35 3 43783.222 2.93964367 31494.952 41536.33
#> 3 5 40 7 18136.133 4.54101702 10583.561 16315.00
#> 4 1 21 0 10077.833 0.00000000 8996.000 10077.83
#> 5 4 15 2 7801.493 2.92559175 2447.121 7506.00
#> 6 10 21 0 38947.167 0.00000000 31646.347 38947.17
#> 7 11 53 0 109351.000 0.00000000 93776.821 109351.00
#> 8 8 23 0 103671.167 0.00000000 77013.082 103671.17
#> 9 2 60 6 33112.462 3.52969399 29584.342 30221.83
#> 10 7 31 0 60145.167 0.00000000 50896.441 60145.17
#> 11 6 47 6 29381.526 5.71134601 24177.211 25727.83
#> 12 12 19 0 64476.000 0.00000000 58094.785 64476.00
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 0.3073981 0 60 28.164643 872.3316 888.8046
#> 2 0.2619667 0 29 13.340586 1287.0707 1333.4591
#> 3 0.1999048 0 30 7.798395 823.5649 844.3671
#> 4 0.1252524 0 20 7.619949 0.0000 0.0000
#> 5 0.1216021 0 11 4.328651 228.2398 269.5150
#> 6 0.1630969 0 20 11.894291 0.0000 0.0000
#> 7 0.2193779 0 51 12.403585 0.0000 0.0000
#> 8 0.2573270 0 21 21.046020 0.0000 0.0000
#> 9 0.1503109 0 52 7.991855 1168.7686 1221.7752
#> 10 0.1299698 0 29 10.675750 0.0000 0.0000
#> 11 0.3225649 0 39 14.485713 1678.0806 1836.2568
#> 12 0.3421124 0 18 19.083770 0.0000 0.0000
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 428 25 1534843 0.1763938
#>
#> $MyImputed
#> y1 y2 y3 y4 y5
#> [1,] 2792.0000 1454.00000 950.00000 2792.0000 78.00000
#> [2,] 11319.0000 1154.00000 2044.00000 14412.0000 1071.00000
#> [3,] 32854.0000 30670.00000 4083.00000 32782.0000 4266.00000
#> [4,] 42362.0000 129494.00000 6848.00000 42182.0000 2331.00000
#> [5,] 3278.0000 69.00000 241.00000 2673.0000 135.00000
#> [6,] 853.0000 0.00000 177.00000 844.0000 87.00000
#> [7,] 1531.0000 0.00000 98.00000 1531.0000 131.00000
#> [8,] 103.0000 0.00000 0.00000 3.0000 3.00000
#> [9,] 2226.0000 3473.00000 351.00000 2166.0000 493.00000
#> [10,] 2512.0000 39.00000 369.00000 2512.0000 217.00000
#> [11,] 6721.0000 2842.00000 748.00000 6410.0000 551.00000
#> [12,] 10538.0000 314.00000 305.00000 9940.0000 5118.00000
#> [13,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [14,] 474.0000 4842.00000 29.00000 474.0000 4.00000
#> [15,] 1507.0000 15.00000 121.00000 1507.0000 156.00000
#> [16,] 5491.0000 1404.00000 1071.00000 5491.0000 222.00000
#> [17,] 331.0000 0.00000 1.00000 66.0000 12.00000
#> [18,] 811.0000 39.00000 9.00000 811.0000 93.00000
#> [19,] 9867.0000 3897.00000 826.00000 9867.0000 1695.00000
#> [20,] 22914.0000 2684.00000 2436.00000 22096.0000 2566.00000
#> [21,] 9635.0000 7649.00000 643.00000 9635.0000 456.00000
#> [22,] 7751.0000 88801.00000 961.00000 4092.0000 422.00000
#> [23,] 10648.0000 6557.00000 947.00000 10648.0000 1762.00000
#> [24,] 14146.0000 3525.00000 424.00000 14054.0000 1070.00000
#> [25,] 97383.0000 15607.00000 7771.00000 78142.0000 10356.00000
#> [26,] 53067.0000 92953.00000 6717.00000 53059.0000 4776.00000
#> [27,] 0.0000 1795.00000 0.00000 0.0000 0.00000
#> [28,] 4400.0000 0.00000 250.00000 4349.0000 271.00000
#> [29,] 1353.0000 16.00000 100.00000 1335.0000 196.00000
#> [30,] 11010.0000 2701.00000 1099.00000 10250.0000 1872.00000
#> [31,] 2809.0000 489.00000 319.00000 2809.0000 51.00000
#> [32,] 23871.0000 20153.00000 2156.00000 22923.0000 4174.00000
#> [33,] 41227.0000 46949.00000 3872.00000 37873.0000 5903.00000
#> [34,] 9878.0000 0.00000 1087.00000 9875.0000 2958.00000
#> [35,] 400.0000 0.00000 0.00000 400.0000 0.00000
#> [36,] 23717.0000 10329.00000 1599.00000 23059.0000 3185.00000
#> [37,] 112.0000 0.00000 12.00000 112.0000 91.00000
#> [38,] 13445.0000 2172.00000 1808.00000 13418.0000 1977.00000
#> [39,] 4830.0000 0.00000 548.00000 4779.0000 241.00000
#> [40,] 1245.0000 296.00000 151.00000 1232.0000 5.00000
#> [41,] 455113.0000 283746.00000 37227.00000 435094.0000 85409.00000
#> [42,] 10354.0000 3636.00000 2268.00000 10346.0000 733.00000
#> [43,] 23153.0000 86339.00000 513.00000 21998.0000 1408.00000
#> [44,] 7146.0000 4584.00000 401.00000 5821.0000 123.00000
#> [45,] 3649.0000 9.00000 357.00000 3551.0000 428.00000
#> [46,] 616.0000 62191.00000 72.00000 550.0000 64.00000
#> [47,] 2657.0000 52.00000 356.00000 2623.0000 186.00000
#> [48,] 2904.0000 0.00000 273.00000 2898.0000 923.00000
#> [49,] 1440.0000 615.00000 0.00000 1291.0000 97.00000
#> [50,] 1537.0000 0.00000 249.00000 1537.0000 56.00000
#> [51,] 1500.0000 1468.00000 367.00000 845.0000 37.00000
#> [52,] 1138.5089 809.80028 132.54028 1105.4451 101.75673
#> [53,] 7919.0000 1149.00000 653.00000 7860.0000 122.00000
#> [54,] 10.0000 0.00000 6.00000 10.0000 3.00000
#> [55,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [56,] 309.0000 0.00000 198.00000 309.0000 30.00000
#> [57,] 742.0000 0.00000 0.00000 742.0000 0.00000
#> [58,] 409.0000 0.00000 0.00000 409.0000 97.00000
#> [59,] 569.0000 4080.00000 241.00000 569.0000 95.00000
#> [60,] 1909.0000 1.00000 562.00000 1701.0000 95.00000
#> [61,] 830.0000 0.00000 260.00000 830.0000 96.00000
#> [62,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [63,] 1828.0000 811.00000 251.00000 1801.0000 56.00000
#> [64,] 20635.0000 12363.00000 2831.00000 20632.0000 1027.00000
#> [65,] 7666.0000 68983.00000 1381.00000 6090.0000 1127.00000
#> [66,] 1256.0000 0.00000 90.00000 1256.0000 0.00000
#> [67,] 742.0000 0.00000 59.00000 742.0000 186.00000
#> [68,] 3199.0000 499.00000 700.00000 3199.0000 150.00000
#> [69,] 1242.9259 896.33292 170.54462 1195.8180 116.97687
#> [70,] 1721.0000 0.00000 242.00000 1719.0000 138.00000
#> [71,] 7149.0000 0.00000 585.00000 4955.0000 322.00000
#> [72,] 4099.0000 2704.00000 1347.00000 4099.0000 115.00000
#> [73,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [74,] 1576.0000 483.00000 163.00000 1576.0000 13.00000
#> [75,] 1535.0000 2051.00000 182.00000 1408.0000 124.00000
#> [76,] 5721.0000 52.00000 406.00000 5597.0000 290.00000
#> [77,] 824.0000 0.00000 98.00000 824.0000 47.00000
#> [78,] 1803.0000 288.00000 100.00000 1798.0000 38.00000
#> [79,] 3715.0000 339.00000 1112.00000 3715.0000 177.00000
#> [80,] 1433.0000 37353.00000 5.00000 1433.0000 409.00000
#> [81,] 3384.0000 757.00000 245.00000 3384.0000 152.00000
#> [82,] 1961.0000 0.00000 315.00000 1946.0000 126.00000
#> [83,] 445.0000 74.00000 98.00000 445.0000 31.00000
#> [84,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [85,] 1097.0000 100.00000 221.00000 1097.0000 93.00000
#> [86,] 5303.0000 393.00000 825.00000 3555.0000 105.00000
#> [87,] 801.0000 0.00000 110.00000 800.0000 52.00000
#> [88,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [89,] 140.0000 0.00000 0.00000 0.0000 0.00000
#> [90,] 56116.0000 11635.00000 5568.00000 92281.0000 7672.00000
#> [91,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [92,] 15997.0000 16476.00000 2018.00000 15997.0000 1586.00000
#> [93,] 2624.0000 35.00000 44.00000 2624.0000 33.00000
#> [94,] 1145.0000 13109.00000 190.00000 1072.0000 6.00000
#> [95,] 1726.0000 0.00000 132.00000 1194.0000 25.00000
#> [96,] 2957.0000 11.00000 373.00000 2914.0000 665.00000
#> [97,] 1291.0000 0.00000 144.00000 1191.0000 46.00000
#> [98,] 690.0000 0.00000 2.00000 680.0000 238.00000
#> [99,] 1208.0000 0.00000 72.00000 1208.0000 36.00000
#> [100,] 106.0000 0.00000 2.00000 62.0000 45.00000
#> [101,] 260.0000 0.00000 9.00000 260.0000 22.00000
#> [102,] 3835.0000 27.00000 757.00000 3835.0000 118.00000
#> [103,] 7781.0000 1527.00000 229.00000 7551.0000 218.00000
#> [104,] 5406.0000 518.00000 1327.00000 5365.0000 1269.00000
#> [105,] 20942.0000 6289.00000 1279.00000 20300.0000 684.00000
#> [106,] 4783.0000 0.00000 0.00000 4783.0000 0.00000
#> [107,] 16.0000 8.00000 0.00000 16.0000 0.00000
#> [108,] 1216.0000 2029.00000 204.00000 1198.0000 178.00000
#> [109,] 304.0000 605.00000 263.00000 1054.0000 0.00000
#> [110,] 1873.0000 0.00000 126.00000 1873.0000 394.00000
#> [111,] 2934.0000 3676.00000 1152.00000 2889.0000 329.00000
#> [112,] 2043.0000 1499.00000 135.00000 2042.0000 84.00000
#> [113,] 29885.0000 17886.00000 3887.00000 28827.0000 4700.00000
#> [114,] 20503.0000 63073.00000 1957.00000 20503.0000 604.00000
#> [115,] 14068.0000 4848.00000 2134.00000 13524.0000 1066.00000
#> [116,] 781.0000 70.00000 248.00000 781.0000 133.00000
#> [117,] 2501.0000 33.00000 310.00000 2469.0000 434.00000
#> [118,] 2201.0000 1142.00000 234.00000 2191.0000 85.00000
#> [119,] 3876.0000 19.00000 833.00000 3864.0000 620.00000
#> [120,] 1232.0000 0.00000 323.00000 1232.0000 216.00000
#> [121,] 2907.0000 11.00000 311.00000 2900.0000 194.00000
#> [122,] 7164.0000 3505.00000 680.00000 7023.0000 400.00000
#> [123,] 1143.0000 24.00000 142.00000 1118.0000 116.00000
#> [124,] 0.0000 0.00000 0.00000 0.0000 0.00000
#> [125,] 12781.0000 6296.00000 2488.00000 12776.0000 335.00000
#> [126,] 72675.0000 38213.00000 5967.00000 72044.0000 16066.00000
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#> [44,] 561.000000
#> [45,] 489.000000
#> [46,] 0.000000
#> [47,] 459.000000
#> [48,] 161.000000
#> [49,] 160.000000
#> [50,] 398.000000
#> [51,] 51.000000
#> [52,] 102.962639
#> [53,] 789.000000
#> [54,] 0.000000
#> [55,] 0.000000
#> [56,] 1.000000
#> [57,] 0.000000
#> [58,] 0.000000
#> [59,] 151.000000
#> [60,] 288.000000
#> [61,] 0.000000
#> [62,] 0.000000
#> [63,] 0.000000
#> [64,] 336.000000
#> [65,] 46.000000
#> [66,] 121.000000
#> [67,] 0.000000
#> [68,] 452.000000
#> [69,] 66.417488
#> [70,] 363.000000
#> [71,] 575.000000
#> [72,] 447.000000
#> [73,] 0.000000
#> [74,] 153.000000
#> [75,] 144.000000
#> [76,] 976.000000
#> [77,] 101.000000
#> [78,] 530.000000
#> [79,] 204.000000
#> [80,] 0.000000
#> [81,] 129.000000
#> [82,] 287.000000
#> [83,] 0.000000
#> [84,] 0.000000
#> [85,] 17.000000
#> [86,] 839.000000
#> [87,] 151.000000
#> [88,] 0.000000
#> [89,] 0.000000
#> [90,] 1968.000000
#> [91,] 0.000000
#> [92,] 119.000000
#> [93,] 77.000000
#> [94,] 73.000000
#> [95,] 65.000000
#> [96,] 0.000000
#> [97,] 111.000000
#> [98,] 0.000000
#> [99,] 183.000000
#> [100,] 0.000000
#> [101,] 0.000000
#> [102,] 836.000000
#> [103,] 0.000000
#> [104,] 345.000000
#> [105,] 2180.000000
#> [106,] 384.000000
#> [107,] 0.000000
#> [108,] 108.000000
#> [109,] 0.000000
#> [110,] 155.000000
#> [111,] 508.000000
#> [112,] 402.000000
#> [113,] 2109.000000
#> [114,] 12.000000
#> [115,] 1276.000000
#> [116,] 217.000000
#> [117,] 280.000000
#> [118,] 570.000000
#> [119,] 1.000000
#> [120,] 125.000000
#> [121,] 451.000000
#> [122,] 998.000000
#> [123,] 138.000000
#> [124,] 0.000000
#> [125,] 1597.000000
#> [126,] 2873.000000
#> [127,] 689.000000
#> [128,] 0.000000
#> [129,] 872.000000
#> [130,] 0.000000
#> [131,] 362.000000
#> [132,] 470.000000
#> [133,] 3.000000
#> [134,] 135.000000
#> [135,] 343.000000
#> [136,] 0.000000
#> [137,] 0.000000
#> [138,] 352.000000
#> [139,] 57.000000
#> [140,] 166.000000
#> [141,] 0.000000
#> [142,] 0.000000
#> [143,] 601.000000
#> [144,] 470.000000
#> [145,] 719.000000
#> [146,] 0.000000
#> [147,] 0.000000
#> [148,] 0.000000
#> [149,] 32.000000
#> [150,] 807.000000
#> [151,] 42.000000
#> [152,] 0.000000
#> [153,] 25.545119
#> [154,] 256.000000
#> [155,] 58.000000
#> [156,] 246.000000
#> [157,] 23.000000
#> [158,] 2906.000000
#> [159,] 1161.000000
#> [160,] 1366.000000
#> [161,] 709.000000
#> [162,] 585.000000
#> [163,] 380.000000
#> [164,] 232.000000
#> [165,] 4.000000
#> [166,] 0.000000
#> [167,] 38.000000
#> [168,] 0.000000
#> [169,] 302.000000
#> [170,] 0.000000
#> [171,] 0.000000
#> [172,] 0.000000
#> [173,] 779.000000
#> [174,] 2534.000000
#> [175,] 1607.000000
#> [176,] 697.000000
#> [177,] 0.000000
#> [178,] 2007.000000
#> [179,] 0.000000
#> [180,] 0.000000
#> [181,] 299.000000
#> [182,] 992.000000
#> [183,] 627.000000
#> [184,] 1447.000000
#> [185,] 416.000000
#> [186,] 224.000000
#> [187,] 232.000000
#> [188,] 0.000000
#> [189,] 0.000000
#> [190,] 0.000000
#> [191,] 0.000000
#> [192,] 357.000000
#> [193,] 0.000000
#> [194,] 0.000000
#> [195,] 682.000000
#> [196,] 804.000000
#> [197,] 61.000000
#> [198,] 0.000000
#> [199,] 1335.000000
#> [200,] 1.000000
#> [201,] 0.000000
#> [202,] 0.000000
#> [203,] 1017.000000
#> [204,] 0.000000
#> [205,] 0.000000
#> [206,] 0.000000
#> [207,] 0.000000
#> [208,] 1463.000000
#> [209,] 0.000000
#> [210,] 0.000000
#> [211,] 0.000000
#> [212,] 0.000000
#> [213,] 23.000000
#> [214,] 223.000000
#> [215,] 0.000000
#> [216,] 50.000000
#> [217,] 0.000000
#> [218,] 0.000000
#> [219,] 0.000000
#> [220,] 2210.000000
#> [221,] 79.000000
#> [222,] 31.000000
#> [223,] 0.000000
#> [224,] 0.000000
#> [225,] 0.000000
#> [226,] 8.000000
#> [227,] 209.000000
#> [228,] 746.000000
#> [229,] 756.000000
#> [230,] 135.000000
#> [231,] 0.000000
#> [232,] 101.000000
#> [233,] 0.000000
#> [234,] 0.000000
#> [235,] 0.000000
#> [236,] 0.000000
#> [237,] 0.000000
#> [238,] 76.000000
#> [239,] 268.000000
#> [240,] 0.000000
#> [241,] 0.000000
#> [242,] 0.000000
#> [243,] 494.000000
#> [244,] 482.000000
#> [245,] 0.000000
#> [246,] 0.000000
#> [247,] 0.000000
#> [248,] 82.698715
#> [249,] 0.000000
#> [250,] 0.000000
#> [251,] 6.000000
#> [252,] 0.000000
#> [253,] 0.000000
#> [254,] 310.000000
#> [255,] 0.000000
#> [256,] 0.000000
#> [257,] 0.000000
#> [258,] 1055.000000
#> [259,] 2929.000000
#> [260,] 0.000000
#> [261,] 0.000000
#> [262,] 0.000000
#> [263,] 0.000000
#> [264,] 34.000000
#> [265,] 0.000000
#> [266,] 306.000000
#> [267,] 0.000000
#> [268,] 743.000000
#> [269,] 0.000000
#> [270,] 212.000000
#> [271,] 19.784375
#> [272,] 72.000000
#> [273,] 415.000000
#> [274,] 272.000000
#> [275,] 840.000000
#> [276,] 0.000000
#> [277,] 202.000000
#> [278,] 380.000000
#> [279,] 0.000000
#> [280,] 0.000000
#> [281,] 0.000000
#> [282,] 1.000000
#> [283,] 96.000000
#> [284,] 287.000000
#> [285,] 0.000000
#> [286,] 87.000000
#> [287,] 204.000000
#> [288,] 515.000000
#> [289,] 430.000000
#> [290,] 0.000000
#> [291,] 9.000000
#> [292,] 64.000000
#> [293,] 0.000000
#> [294,] 1393.000000
#> [295,] 0.000000
#> [296,] 18.969724
#> [297,] 11.000000
#> [298,] 371.000000
#> [299,] 912.000000
#> [300,] 102.000000
#> [301,] 0.000000
#> [302,] 98.000000
#> [303,] 0.000000
#> [304,] 0.000000
#> [305,] 0.000000
#> [306,] 381.000000
#> [307,] 173.000000
#> [308,] 0.000000
#> [309,] 485.000000
#> [310,] 0.000000
#> [311,] 0.000000
#> [312,] 269.000000
#> [313,] 1226.000000
#> [314,] 0.000000
#> [315,] 98.000000
#> [316,] 811.000000
#> [317,] 362.000000
#> [318,] 205.000000
#> [319,] 0.000000
#> [320,] 370.000000
#> [321,] 442.000000
#> [322,] 1728.000000
#> [323,] 0.000000
#> [324,] 183.000000
#> [325,] 1752.000000
#> [326,] 0.000000
#> [327,] 0.000000
#> [328,] 0.000000
#> [329,] 0.000000
#> [330,] 201.000000
#> [331,] 0.000000
#> [332,] 0.000000
#> [333,] 269.000000
#> [334,] 0.000000
#> [335,] 207.000000
#> [336,] 0.000000
#> [337,] 20.000000
#> [338,] 151.000000
#> [339,] 211.000000
#> [340,] 0.000000
#> [341,] 0.000000
#> [342,] 671.000000
#> [343,] 964.000000
#> [344,] 0.000000
#> [345,] 198.000000
#> [346,] 0.000000
#> [347,] 31.127394
#> [348,] 9.832691
#> [349,] 47.729755
#> [350,] 234.000000
#> [351,] 0.000000
#> [352,] 1031.000000
#> [353,] 0.000000
#> [354,] 0.000000
#> [355,] 27.193817
#> [356,] 0.000000
#> [357,] 12.000000
#> [358,] 1155.000000
#> [359,] 37.294407
#> [360,] 9.271501
#> [361,] 0.000000
#> [362,] 0.000000
#> [363,] 0.000000
#> [364,] 0.000000
#> [365,] 128.703299
#> [366,] 1112.000000
#> [367,] 49.118227
#> [368,] 237.000000
#> [369,] 45.640166
#> [370,] 49.393469
#> [371,] 0.000000
#> [372,] 24.885640
#> [373,] 35.030829
#> [374,] 69.992688
#> [375,] 0.000000
#> [376,] 0.000000
#> [377,] 0.000000
#> [378,] 0.000000
#> [379,] 418.000000
#> [380,] 0.000000
#> [381,] 51.051445
#> [382,] 401.000000
#> [383,] 0.000000
#> [384,] 294.000000
#> [385,] 0.000000
#> [386,] 9.000000
#> [387,] 650.000000
#> [388,] 0.000000
#> [389,] 0.000000
#> [390,] 0.000000
#> [391,] 0.000000
#> [392,] 0.000000
#> [393,] 113.733227
#> [394,] 798.000000
#> [395,] 93.000000
#> [396,] 94.528465
#> [397,] 0.000000
#> [398,] 0.000000
#> [399,] 0.000000
#> [400,] 0.000000
#> [401,] 150.000000
#> [402,] 0.000000
#> [403,] 0.000000
#> [404,] 54.000000
#> [405,] 0.000000
#> [406,] 15.000000
#> [407,] 367.000000
#> [408,] 0.000000
#> [409,] 0.000000
#> [410,] 0.000000
#> [411,] 0.000000
#> [412,] 1426.000000
#> [413,] 0.000000
#> [414,] 1.000000
#> [415,] 0.000000
#> [416,] 0.000000
#> [417,] 0.000000
#> [418,] 0.000000
#> [419,] 0.000000
#> [420,] 0.000000
#> [421,] 0.000000
#> [422,] 0.000000
#> [423,] 261.000000
#> [424,] 76.000000
#> [425,] 73.114344
#> [426,] 26.720119
#> [427,] 62.568839
#> [428,] 1.000000
#>
#> $Mestimate
#> y1 y2 y3 y4 y5 y6
#> [1,] 2034278.541 1602244.06 185894.3699 1948648.313 237766.7607 86925.7201
#> [2,] 85417.214 74017.61 10422.2472 83113.060 6638.4864 3090.7196
#> [3,] 16872.438 69819.52 2303.0393 16673.341 2110.7606 1037.7016
#> [4,] 21086.000 12689.00 1875.0000 20718.000 1435.0000 2664.0000
#> [5,] 6783.913 31801.92 666.9979 6590.557 530.4391 435.1271
#> [6,] 57945.000 96472.00 6732.0000 56639.000 11311.0000 4584.0000
#> [7,] 219433.000 176912.00 26295.0000 203480.000 16303.0000 13683.0000
#> [8,] 150654.000 285438.00 14564.0000 149605.000 11871.0000 9895.0000
#> [9,] 66837.049 46193.83 7294.8942 64994.940 5368.4478 7985.6156
#> [10,] 125085.000 78135.00 12482.0000 121992.000 14813.0000 8364.0000
#> [11,] 45468.809 75352.23 5911.2885 43551.855 4129.5478 1875.4244
#> [12,] 140472.000 75058.00 16258.0000 135417.000 10108.0000 9543.0000
#>
#> $Mcv
#> y1 y2 y3 y4 y5 y6
#> [1,] 0.07932253 0.2081533 0.08869274 0.08795265 0.1603879 0.1853512
#> [2,] 3.01648196 4.8949024 4.23316496 2.93263627 4.2367970 9.2257605
#> [3,] 9.53278824 4.6424118 11.15297687 9.60482583 13.0312116 16.9774159
#> [4,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#> [5,] 8.76092085 0.3954859 9.20400813 9.10104253 10.6496921 12.1044815
#> [6,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#> [7,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#> [8,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#> [9,] 3.35393273 10.9428857 4.34577100 3.40602386 8.5124609 4.4231202
#> [10,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#> [11,] 6.61994322 9.5195946 7.01336321 6.79293112 7.4268214 13.7455142
#> [12,] 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
#>
#> $MestimateTotal
#> y1 y2 y3 y4 y5 y6
#> [1,] 2970333 2624133 290698.8 2851423 322385.4 150083.3
#>
#> $McvTotal
#> y1 y2 y3 y4 y5 y6
#> [1,] 0.1725479 0.4028978 0.2583326 0.1769424 0.2415245 0.3840843
#>
ImputeRegressionMulti(w, method="ratioconstant") # No strata
#> $micro
#> id x y strata category123 yHat yImputed
#> 1 101 30544 1.351167e+03 1 1 8035.754698 1351.166667
#> 2 104 32182 5.184333e+03 1 1 8473.829360 5184.333333
#> 3 105 54678 1.782583e+04 1 1 14490.268675 17825.833333
#> 4 106 78967 3.720733e+04 1 2 20986.236604 37207.333333
#> 5 111 4511 1.121833e+03 1 1 1073.362953 1121.833333
#> 6 118 1404 3.500000e+02 1 1 242.411808 350.000000
#> 7 119 3610 5.850000e+02 1 1 832.395144 585.000000
#> 8 121 672 1.816667e+01 1 1 46.642179 18.166667
#> 9 122 5343 1.461000e+03 1 1 1295.877067 1461.000000
#> 10 123 5736 9.746667e+02 1 1 1400.982892 974.666667
#> 11 124 15615 2.914333e+03 1 1 4043.070552 2914.333333
#> 12 125 11396 4.465333e+03 1 1 2914.720736 4465.333333
#> 13 127 3742 0.000000e+00 1 1 867.697864 0.000000
#> 14 128 8084 1.005500e+03 1 1 2028.943397 1005.500000
#> 15 135 7357 5.783333e+02 1 1 1834.510992 578.333333
#> 16 136 15458 2.321000e+03 1 1 4001.081711 2321.000000
#> 17 137 5186 6.833333e+01 1 1 1253.888225 68.333333
#> 18 138 5382 2.938333e+02 1 1 1306.307416 293.833333
#> 19 211 16732 4.457667e+03 1 1 4341.806448 4457.666667
#> 20 213 30261 9.276167e+03 1 1 7960.067805 9276.166667
#> 21 214 18992 4.669667e+03 1 1 4946.231806 4669.666667
#> 22 215 15695 1.700450e+04 1 2 4064.466140 17004.500000
#> 23 216 18623 5.191167e+03 1 1 4847.544657 5191.166667
#> 24 217 26792 5.536667e+03 1 1 7032.301625 5536.666667
#> 25 219 122348 3.547133e+04 1 1 32588.261583 35471.333333
#> 26 220 60106 3.548033e+04 1 2 15941.959314 35480.333333
#> 27 221 15914 2.991667e+02 1 1 4123.036562 299.166667
#> 28 226 17443 1.548833e+03 1 1 4531.959735 1548.833333
#> 29 227 11374 5.313333e+02 1 1 2908.836949 531.333333
#> 30 228 17426 4.609500e+03 1 1 4527.413173 4609.500000
#> 31 229 10870 1.148667e+03 1 1 2774.044745 1148.666667
#> 32 230 36368 1.255867e+04 1 1 9593.353496 12558.666667
#> 33 231 52522 2.294433e+04 1 1 13913.657581 22944.333333
#> 34 233 22857 4.150167e+03 1 1 5979.906146 4150.166667
#> 35 234 6323 1.333333e+02 1 1 1557.973018 133.333333
#> 36 235 34189 1.073117e+04 1 1 9010.591171 10731.166667
#> 37 236 20783 5.450000e+01 1 1 5425.225530 54.500000
#> 38 237 23811 5.722000e+03 1 1 6235.048532 5722.000000
#> 39 238 12267 1.796833e+03 1 1 3147.665199 1796.833333
#> 40 239 2837 4.881667e+02 1 1 625.660276 488.166667
#> 41 301 658390 2.199700e+05 1 1 175949.933145 219970.000000
#> 42 402 17835 4.593833e+03 1 1 4636.798116 4593.833333
#> 43 403 30120 2.236483e+04 1 2 7922.358082 22364.833333
#> 44 412 33597 3.106000e+03 1 1 8852.263821 3106.000000
#> 45 415 7588 1.413833e+03 1 1 1896.290752 1413.833333
#> 46 417 20119 1.058217e+04 1 1 5247.642150 10582.166667
#> 47 418 5131 1.055500e+03 1 1 1239.178759 1055.500000
#> 48 419 7901 1.193167e+03 1 1 1980.000990 1193.166667
#> 49 420 6142 6.005000e+02 1 1 1509.565501 600.500000
#> 50 423 4763 6.295000e+02 1 1 1140.759054 629.500000
#> 51 425 7456 7.113333e+02 1 1 1860.988032 711.333333
#> 52 426 3760 NaN 1 3 872.511871 872.511871
#> 53 427 21030 3.082000e+03 1 1 5491.284408 3082.000000
#> 54 428 6525 4.833333e+00 1 1 1611.996878 4.833333
#> 55 429 4429 0.000000e+00 1 1 1051.432475 0.000000
#> 56 430 2600 1.411667e+02 1 1 562.275847 141.166667
#> 57 432 1881 2.473333e+02 1 1 369.983001 247.333333
#> 58 434 1305 1.525000e+02 1 1 215.934768 152.500000
#> 59 436 1620 9.508333e+02 1 1 300.179895 950.833333
#> 60 437 5580 7.593333e+02 1 1 1359.261496 759.333333
#> 61 438 2426 3.360000e+02 1 1 515.740443 336.000000
#> 62 439 1592 0.000000e+00 1 1 292.691439 0.000000
#> 63 441 1956 7.911667e+02 1 1 390.041364 791.166667
#> 64 501 27476 9.637333e+03 1 1 7215.233902 9637.333333
#> 65 502 30137 1.421550e+04 1 1 7926.904644 14215.500000
#> 66 511 2701 4.538333e+02 1 1 589.287777 453.833333
#> 67 512 2055 2.881667e+02 1 1 416.518404 288.166667
#> 68 513 2204 1.366500e+03 1 1 456.367687 1366.500000
#> 69 514 2347 NaN 1 3 494.612300 494.612300
#> 70 515 3664 6.971667e+02 1 1 846.837166 697.166667
#> 71 516 5741 2.264333e+03 1 1 1402.320116 2264.333333
#> 72 517 5935 2.135167e+03 1 1 1454.204417 2135.166667
#> 73 519 3154 0.000000e+00 1 1 710.440293 0.000000
#> 74 520 4462 6.606667e+02 1 1 1060.258155 660.666667
#> 75 521 5072 9.073333e+02 1 1 1223.399513 907.333333
#> 76 522 6227 2.173667e+03 1 1 1532.298313 2173.666667
#> 77 528 14906 3.156667e+02 1 1 3853.452154 315.666667
#> 78 529 13180 7.595000e+02 1 1 3391.842346 759.500000
#> 79 532 6629 1.543667e+03 1 1 1639.811142 1543.666667
#> 80 533 9044 6.772167e+03 1 1 2285.690452 6772.166667
#> 81 534 13695 1.341833e+03 1 1 3529.576443 1341.833333
#> 82 536 5758 7.725000e+02 1 1 1406.866679 772.500000
#> 83 538 6751 1.821667e+02 1 1 1672.439414 182.166667
#> 84 540 3058 0.000000e+00 1 1 684.765588 0.000000
#> 85 541 1321 4.375000e+02 1 1 220.213885 437.500000
#> 86 542 6458 1.836667e+03 1 1 1594.078073 1836.666667
#> 87 543 2168 3.190000e+02 1 1 446.739672 319.000000
#> 88 544 3220 0.000000e+00 1 1 728.091653 0.000000
#> 89 545 1590 2.333333e+01 1 1 292.156550 23.333333
#> 90 602 67895 2.920667e+04 1 1 18025.087240 29206.666667
#> 91 604 27013 0.000000e+00 1 1 7091.406937 0.000000
#> 92 605 29801 8.698833e+03 1 1 7837.043175 8698.833333
#> 93 612 6767 9.061667e+02 1 1 1676.718531 906.166667
#> 94 615 1074 2.599167e+03 1 2 154.155008 2599.166667
#> 95 616 3422 5.236667e+02 1 1 782.115512 523.666667
#> 96 617 4578 1.153333e+03 1 1 1091.281757 1153.333333
#> 97 618 2422 4.638333e+02 1 1 514.670664 463.833333
#> 98 619 4711 2.683333e+02 1 1 1126.851922 268.333333
#> 99 620 4497 4.511667e+02 1 1 1069.618725 451.166667
#> 100 621 3512 3.583333e+01 1 1 806.185549 35.833333
#> 101 622 2275 9.183333e+01 1 1 475.356271 91.833333
#> 102 623 13794 1.568000e+03 1 1 3556.053483 1568.000000
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#> 400 1929 915 1.083333e+02 1 1 111.631277 108.333333
#> 401 1931 11618 7.205000e+02 1 1 2974.093492 720.500000
#> 402 1933 5701 2.388333e+02 1 1 1391.622323 238.833333
#> 403 1936 2282 3.805000e+02 1 1 477.228385 380.500000
#> 404 1938 2861 2.313333e+02 1 1 632.078952 231.333333
#> 405 1939 1865 4.158333e+02 1 1 365.703883 415.833333
#> 406 1940 2150 3.057833e+03 1 2 441.925665 3057.833333
#> 407 1941 2920 3.048333e+02 1 1 647.858198 304.833333
#> 408 1942 4895 4.610000e+02 1 1 1176.061775 461.000000
#> 409 1943 1231 2.656667e+02 1 1 196.143849 265.666667
#> 410 2002 2137 2.946333e+03 1 2 438.448882 2946.333333
#> 411 2003 6160 6.375000e+02 1 1 1514.379508 637.500000
#> 412 2004 10455 9.958000e+03 1 2 2663.055133 9958.000000
#> 413 2011 2956 6.423333e+02 1 1 657.486213 642.333333
#> 414 2012 20097 9.051000e+03 1 1 5241.758364 9051.000000
#> 415 2014 951 2.166667e+00 1 1 121.259291 2.166667
#> 416 2015 1054 8.000000e+00 1 1 148.806111 8.000000
#> 417 2017 1035 2.640000e+02 1 1 143.724659 264.000000
#> 418 2018 1215 2.655000e+02 1 1 191.864731 265.500000
#> 419 2019 3276 2.343833e+03 1 1 743.068565 2343.833333
#> 420 2020 3978 0.000000e+00 1 1 930.814848 0.000000
#> 421 2021 2668 1.726167e+03 1 1 580.462097 1726.166667
#> 422 2022 1318 6.226667e+02 1 1 219.411551 622.666667
#> 423 2023 1139 6.248333e+02 1 1 171.538923 624.833333
#> 424 2024 1000 5.100000e+02 1 1 134.364089 510.000000
#> 425 2025 2922 NaN 1 3 648.393088 648.393088
#> 426 2027 959 NaN 1 3 123.398850 123.398850
#> 427 2028 2211 NaN 1 3 458.239801 458.239801
#> 428 2030 10227 7.010333e+03 1 1 2602.077708 7010.333333
#> rStud dffits hii leaveOutResid
#> 1 -2.516886140 -0.2143697841 0.007202128 -6733.080539
#> 2 -1.199206736 -0.1052411056 0.007642769 -3314.830510
#> 3 0.935111943 0.1106127880 0.013799041 3382.236274
#> 4 3.720483578 NaN NaN 16221.096729
#> 5 0.046971341 0.0020391049 0.001881029 48.561727
#> 6 0.187288391 0.0146626467 0.006091851 108.247621
#> 7 -0.268065091 -0.0125930264 0.002202025 -247.941117
#> 8 -0.071931099 -0.0085464416 0.013920322 -28.877496
#> 9 0.147025178 0.0061667984 0.001756195 165.413431
#> 10 -0.366406977 -0.0152677591 0.001733284 -427.056436
#> 11 -0.588616454 -0.0341406508 0.003352897 -1132.534490
#> 12 0.946779424 0.0466220082 0.002418981 1554.372596
#> 13 -0.924385660 -0.0427854829 0.002137751 -869.556760
#> 14 -0.741401830 -0.0320509659 0.001865366 -1025.356061
#> 15 -0.954318737 -0.0403972003 0.001788703 -1258.428613
#> 16 -0.881053102 -0.0508175492 0.003315743 -1685.670963
#> 17 -1.073079493 -0.0451983672 0.001770973 -1187.658203
#> 18 -0.899163435 -0.0376805615 0.001753055 -1014.252122
#> 19 0.058348929 0.0035174489 0.003620882 116.281259
#> 20 0.493881078 0.0418411843 0.007126187 1325.544942
#> 21 -0.130771794 -0.0084715033 0.004179016 -277.725760
#> 22 6.713961026 NaN NaN 12940.033860
#> 23 0.164075462 0.0105103570 0.004086667 345.032041
#> 24 -0.596293624 -0.0471012980 0.006200748 -1504.966879
#> 25 0.545141819 0.1000902358 0.032611106 2980.261368
#> 26 5.149765888 NaN NaN 19538.374020
#> 27 -1.984660291 -0.1163320234 0.003424023 -3837.007897
#> 28 -1.475752859 -0.0910775976 0.003794415 -2994.488735
#> 29 -1.455400757 -0.0716026559 0.002414589 -2383.258204
#> 30 0.040511935 0.0024988550 0.003790242 82.399140
#> 31 -1.016288226 -0.0489644468 0.002315906 -1629.151040
#> 32 1.016949751 0.0956884887 0.008775912 2991.566898
#> 33 2.602343635 0.3010271241 0.013204115 9151.513388
#> 34 -0.789667797 -0.0569114960 0.005167271 -1839.243348
#> 35 -1.168106915 -0.0486246486 0.001729800 -1427.108297
#> 36 0.607868472 0.0552206756 0.008184929 1734.774501
#> 37 -2.447228388 -0.1669551828 0.004632700 -5395.722293
#> 38 -0.216799670 -0.0159981380 0.005415807 -515.842234
#> 39 -0.794769928 -0.0405622457 0.002597954 -1354.350405
#> 40 -0.168094552 -0.0088550947 0.002767423 -137.875168
#> 41 3.982167235 1.8808185423 0.182389992 53839.931550
#> 42 -0.020960696 -0.0013100265 0.003890950 -43.132610
#> 43 5.399274198 NaN NaN 14442.475252
#> 44 -2.058170327 -0.1851174318 0.008024774 -5792.749327
#> 45 -0.360533902 -0.0153543290 0.001810433 -483.332460
#> 46 2.470678965 0.1654347308 0.004463524 5358.442053
#> 47 -0.166894849 -0.0070416224 0.001776999 -184.005737
#> 48 -0.576389584 -0.0247732278 0.001843875 -788.287827
#> 49 -0.755484064 -0.0314271187 0.001727459 -910.638591
#> 50 -0.482296976 -0.0206510503 0.001830036 -512.196392
#> 51 -0.867398494 -0.0368100873 0.001797691 -1151.725144
#> 52 NaN NaN NaN NaN
#> 53 -1.084541673 -0.0744950800 0.004695896 -2420.651536
#> 54 -1.297754826 -0.0541117310 0.001735574 -1609.957745
#> 55 -1.029748523 -0.0449355320 0.001900602 -1053.434635
#> 56 -0.538042349 -0.0296806390 0.003033849 -422.390650
#> 57 -0.184298596 -0.0121889771 0.004355068 -123.186151
#> 58 -0.114565944 -0.0093550632 0.006623632 -63.857738
#> 59 1.055450090 0.0760788698 0.005168946 654.034105
#> 60 -0.522877274 -0.0218308197 0.001740140 -600.973941
#> 61 -0.237698821 -0.0136165640 0.003270832 -180.330273
#> 62 -0.478410363 -0.0348336878 0.005273530 -294.243139
#> 63 0.591268817 0.0382381853 0.004164971 402.802965
#> 64 0.954354235 0.0764873803 0.006382336 2437.657380
#> 65 2.381539024 0.2012872556 0.007092931 6333.518568
#> 66 -0.169732032 -0.0091744549 0.002913170 -135.850198
#> 67 -0.184482385 -0.0115992322 0.003937633 -128.859138
#> 68 1.265577916 0.0764806270 0.003638664 913.456073
#> 69 NaN NaN NaN NaN
#> 70 -0.160964064 -0.0075147817 0.002174850 -149.996720
#> 71 0.740958667 0.0308733431 0.001733110 863.509774
#> 72 0.575520554 0.0239473358 0.001728389 682.141255
#> 73 -0.824346449 -0.0411796839 0.002489225 -712.213151
#> 74 -0.389432777 -0.0169576665 0.001892537 -400.349164
#> 75 -0.288872882 -0.0122120739 0.001783979 -316.631043
#> 76 0.529159868 0.0220171244 0.001728209 642.478691
#> 77 -1.896169067 -0.1072035609 0.003186239 -3549.093748
#> 78 -1.497463347 -0.0792742637 0.002794709 -2639.719594
#> 79 -0.076853677 -0.0032083844 0.001739752 -96.312034
#> 80 3.109661178 0.1391299372 0.001997775 4495.457126
#> 81 -1.219780171 -0.0658864297 0.002909133 -2194.126114
#> 82 -0.544294042 -0.0226752140 0.001732537 -635.467650
#> 83 -1.182616045 -0.0494537522 0.001745630 -1492.878761
#> 84 -0.806931302 -0.0409237844 0.002565446 -686.526835
#> 85 0.390097915 0.0316315154 0.006532007 218.714761
#> 86 0.196473062 0.0081868628 0.001733307 243.009804
#> 87 -0.178732557 -0.0109018051 0.003706609 -128.214915
#> 88 -0.836125951 -0.0413553422 0.002440387 -729.872825
#> 89 -0.439654569 -0.0320350749 0.005281152 -270.250450
#> 90 2.844984260 0.3792170920 0.017456922 11380.243449
#> 91 -2.844322078 -0.2257394237 0.006259366 -7136.074236
#> 92 0.325803509 0.0273602486 0.007002878 867.867730
#> 93 -0.609928931 -0.0255117449 0.001746476 -771.899970
#> 94 4.837782671 NaN NaN 2445.011659
#> 95 -0.287651323 -0.0138323434 0.002307043 -259.046477
#> 96 0.059690526 0.0025809896 0.001866167 62.167591
#> 97 -0.067281211 -0.0038577045 0.003276762 -51.004460
#> 98 -0.814809058 -0.0349788029 0.001839495 -860.100740
#> 99 -0.600542174 -0.0260929762 0.001884261 -619.619583
#> 100 -0.847024036 -0.0402649128 0.002254664 -772.093026
#> 101 -0.523967872 -0.0311056708 0.003511898 -384.874578
#> 102 -1.104080044 -0.0598651694 0.002931382 -1993.898360
#> 103 -0.894988136 -0.0565934547 0.003982583 -1858.822290
#> 104 -1.687214717 -0.1263652798 0.005578090 -4051.798970
#> 105 0.758350958 0.0585225996 0.005920086 1874.890204
#> 106 -1.766383766 -0.1228589875 0.004814462 -3975.651217
#> 107 -1.600618101 -0.0726526120 0.002056048 -2382.609693
#> 108 0.292611196 0.0158226017 0.002915452 234.096276
#> 109 0.223849409 0.0175249773 0.006091851 129.376333
#> 110 0.243176251 0.0135617980 0.003100584 189.050787
#> 111 -2.077537450 -0.1654631156 0.006303164 -5253.985400
#> 112 -1.072846609 -0.0514132776 0.002291285 -1709.294173
#> 113 1.074763382 0.1101132343 0.010387676 3411.014856
#> 114 1.734264445 0.1858979381 0.011359440 5719.056407
#> 115 -1.706622149 -0.1785193709 0.010823550 -5505.848574
#> 116 -1.011615886 -0.0422185026 0.001738676 -1263.655441
#> 117 -0.911580029 -0.0411879268 0.002037345 -1351.607689
#> 118 0.414126197 0.0206589506 0.002482399 358.542750
#> 119 -0.561977320 -0.0254559159 0.002047622 -836.683680
#> 120 -0.789045301 -0.0328318008 0.001728360 -935.022028
#> 121 -1.120757949 -0.0557876752 0.002471600 -1860.121316
#> 122 -1.045189733 -0.0729484285 0.004847649 -2365.812944
#> 123 -0.692355438 -0.0293778913 0.001797222 -750.903791
#> 124 -0.692568671 -0.0392493176 0.003201444 -530.275443
#> 125 -1.186116036 -0.1108840638 0.008663730 -3467.439735
#> 126 5.664287121 NaN NaN 20343.562952
#> 127 0.404257761 0.0210103533 0.002693881 701.875388
#> 128 -0.618676753 -0.0361986875 0.003411724 -460.306735
#> 129 -0.737398932 -0.0404355430 0.002997903 -1347.053939
#> 130 -0.507766515 -0.0241984190 0.002266004 -804.863908
#> 131 -0.303401787 -0.0135286309 0.001984307 -300.333755
#> 132 0.077102901 0.0032152213 0.001735904 95.929309
#> 133 -1.176784751 -0.0489507772 0.001727326 -1412.206269
#> 134 -0.828977836 -0.0363987706 0.001924204 -839.710769
#> 135 -0.006368412 -0.0002649834 0.001728318 -7.554698
#> 136 -0.484390462 -0.0350032111 0.005194727 -299.865501
#> 137 -0.319124234 -0.0163641285 0.002622562 -268.718179
#> 138 0.671589914 0.0382815010 0.003238626 511.532432
#> 139 0.976675364 0.0752642033 0.005903439 571.531846
#> 140 0.726763121 0.0588790977 0.006520717 407.575576
#> 141 0.755273607 0.0451606461 0.003562556 551.029369
#> 142 -0.921959391 -0.0427425720 0.002144694 -865.542515
#> 143 -0.385891060 -0.0161821564 0.001755417 -494.004777
#> 144 -0.803733100 -0.0574746935 0.005087618 -1859.259780
#> 145 -0.310033455 -0.0326154436 0.010945851 -1009.081407
#> 146 -0.692358418 -0.0392460866 0.003202857 -530.007891
#> 147 0.636743144 0.0402471974 0.003979340 442.490535
#> 148 -1.108585598 -0.0461169722 0.001727556 -1321.114860
#> 149 2.450342337 0.1022482464 0.001738212 2804.784242
#> 150 0.030794682 0.0014657451 0.002260386 48.760146
#> 151 -0.935734537 -0.0394604443 0.001775199 -1032.123434
#> 152 0.163945286 0.0109570846 0.004446892 108.593026
#> 153 NaN NaN NaN NaN
#> 154 0.598972407 0.0282315104 0.002216618 551.649441
#> 155 5.425999331 NaN NaN 2902.077162
#> 156 2.292433153 0.1925908636 0.007008475 1238.259233
#> 157 8.334812841 NaN NaN 3953.845378
#> 158 1.175332357 0.1810016266 0.023166692 5428.991336
#> 159 3.424102923 NaN NaN 6564.263038
#> 160 1.755478776 0.0806186864 0.002104579 2651.609025
#> 161 0.336562909 0.0150883728 0.002005766 494.060052
#> 162 7.435519246 NaN NaN 13680.646532
#> 163 -0.282429911 -0.0117646611 0.001732146 -348.250945
#> 164 -1.354054408 -0.0663026681 0.002391937 -2206.960480
#> 165 0.263370101 0.0155777945 0.003486280 194.142224
#> 166 0.888263611 0.0873584658 0.009579566 420.845900
#> 167 -0.270014025 -0.0186152778 0.004730501 -174.104661
#> 168 -0.507063766 -0.0215394328 0.001801194 -548.553846
#> 169 -0.069479486 -0.0030462236 0.001918564 -98.587265
#> 170 0.699177397 0.0489819165 0.004883942 444.393352
#> 171 -0.972627649 -0.0404643608 0.001727830 -1156.338170
#> 172 0.515525672 0.0346164520 0.004488598 339.981169
#> 173 0.946012755 0.0535552459 0.003194629 1779.103406
#> 174 1.610259990 0.2263638916 0.019378655 6816.960716
#> 175 6.237440097 NaN NaN 35503.126255
#> 176 0.721222394 0.0684779207 0.008934395 2140.180709
#> 177 -0.852469576 -0.0416034860 0.002376121 -754.757419
#> 178 1.508156186 0.0743430964 0.002424011 1318.453061
#> 179 -0.531635165 -0.0280677148 0.002779572 -434.993366
#> 180 -2.328943620 -0.1490411454 0.004078678 -4858.803919
#> 181 -0.825606537 -0.0534479957 0.004173499 -1750.821738
#> 182 -0.842798119 -0.0539035219 0.004073937 -1768.275478
#> 183 0.627681710 0.0314970377 0.002511703 1051.698523
#> 184 0.953914738 0.0742149911 0.006016492 2374.123886
#> 185 0.674123746 0.0323001969 0.002290526 1074.820657
#> 186 1.469600239 0.1236921970 0.007034293 795.748230
#> 187 -1.241468711 -0.0638683419 0.002639683 -2129.974291
#> 188 0.338926280 0.0181921343 0.002872813 273.035255
#> 189 2.360514949 0.1074723329 0.002068619 2253.738976
#> 190 6.182512710 NaN NaN 6522.582189
#> 191 -0.836303254 -0.0413580050 0.002439668 -730.140398
#> 192 -0.509939665 -0.0217410165 0.001814402 -546.790189
#> 193 0.165635361 0.0225709931 0.018230755 58.845796
#> 194 3.891211366 NaN NaN 1766.907632
#> 195 -0.554089157 -0.0267568901 0.002326486 -891.327874
#> 196 -2.017826427 -0.2064881968 0.010363314 -6372.825324
#> 197 1.398930113 0.3214452033 0.050150653 311.374069
#> 198 -0.750817748 -0.0332690126 0.001959562 -1082.679481
#> 199 1.962747024 0.5625253168 0.075905279 16454.070922
#> 200 -0.362242787 -0.0161926816 0.001994211 -357.260241
#> 201 -0.731869660 -0.0305505578 0.001739461 -841.869344
#> 202 -1.610991270 -0.0805905806 0.002496300 -2682.915362
#> 203 -0.735967647 -0.0473641902 0.004124656 -1552.934930
#> 204 -0.821827829 -0.0411424204 0.002499948 -708.467196
#> 205 -0.688243500 -0.0365245619 0.002808435 -560.202441
#> 206 -1.696710650 -0.0901447871 0.002814761 -2998.787363
#> 207 -0.318710342 -0.0286426063 0.008011968 -163.488216
#> 208 1.096799934 0.0460021296 0.001756053 1403.151968
#> 209 -0.437702210 -0.0211063686 0.002319855 -392.910667
#> 210 1.017351570 0.1010888671 0.009776820 477.529663
#> 211 5.234508537 NaN NaN 2696.278975
#> 212 -0.218981230 -0.0218257065 0.009836257 -102.644808
#> 213 0.033631105 0.0018677906 0.003074940 62.213454
#> 214 -0.134110714 -0.0058752951 0.001915577 -190.045045
#> 215 1.129830286 0.0515762807 0.002079551 1081.045950
#> 216 -0.401713074 -0.0229238994 0.003245885 -305.779531
#> 217 0.316676150 0.0209751676 0.004367964 685.679581
#> 218 1.002772089 0.0423267142 0.001778491 1102.759271
#> 219 -1.353239341 -0.0568053257 0.001758994 -1735.399617
#> 220 -1.414308753 -0.1070205541 0.005693329 -3430.805330
#> 221 -1.343743959 -0.1097206081 0.006623041 -3484.582578
#> 222 0.545150611 0.0243302560 0.001987907 538.775127
#> 223 0.105243492 0.0170611514 0.025607094 32.003797
#> 224 -1.007629919 -0.0433835458 0.001850306 -1381.701138
#> 225 -1.444459494 -0.0619148406 0.001833925 -1959.792511
#> 226 0.550659725 0.0234812407 0.001815041 590.176215
#> 227 -0.131446133 -0.0055559168 0.001783367 -144.160495
#> 228 1.052406010 0.0610238277 0.003351000 2022.345889
#> 229 2.162249772 0.1134726137 0.002746477 1769.249251
#> 230 1.298375851 0.1679726914 0.016461443 482.135845
#> 231 1.216440068 0.0852484248 0.004887239 771.929677
#> 232 1.472698531 0.0741125957 0.002526143 2469.073060
#> 233 -0.566320289 -0.0328627983 0.003356023 -424.521569
#> 234 0.717915421 0.0782274231 0.011733980 310.951924
#> 235 -0.165627018 -0.0130149619 0.006136913 -95.423745
#> 236 3.626910423 NaN NaN 3596.742744
#> 237 -0.736529709 -0.0399054691 0.002926923 -587.798880
#> 238 0.501373419 0.0411402283 0.006688003 278.201068
#> 239 0.563684999 0.0332759370 0.003472776 416.104201
#> 240 -1.349276911 -0.0578820630 0.001836908 -1834.455802
#> 241 -0.525795691 -0.0360832746 0.004687457 -340.287034
#> 242 -0.626290027 -0.0381608770 0.003698932 -449.472018
#> 243 1.646594885 0.0690386200 0.001754882 1848.754829
#> 244 2.880788526 0.1216979442 0.001781432 3130.394064
#> 245 -0.644054051 -0.0328506333 0.002594863 -544.985848
#> 246 -0.267625085 -0.0141163370 0.002774494 -219.229747
#> 247 0.824551753 0.0426353821 0.002666520 688.092828
#> 248 NaN NaN NaN NaN
#> 249 -0.127824578 -0.0066921757 0.002733488 -223.568911
#> 250 0.527068088 0.0277503720 0.002764407 432.399384
#> 251 -0.605061984 -0.0277035622 0.002092002 -577.386689
#> 252 -0.198845384 -0.0082715340 0.001727389 -237.968526
#> 253 -0.753274246 -0.0401484953 0.002832698 -610.540728
#> 254 -0.173235743 -0.0072065635 0.001727550 -206.790579
#> 255 -0.353973487 -0.0303304394 0.007288514 -189.232281
#> 256 1.300069262 0.0541479419 0.001731722 1518.476000
#> 257 -0.663507924 -0.0279629499 0.001772977 -864.162723
#> 258 0.941646465 0.0742847051 0.006184843 2372.250394
#> 259 0.249140012 0.0270067882 0.011614097 833.179717
#> 260 -1.574433110 -0.1181829474 0.005603005 -3790.174632
#> 261 -0.097232379 -0.0047839357 0.002414898 -85.425963
#> 262 -0.536168145 -0.0298320891 0.003086192 -417.599400
#> 263 -0.679186504 -0.0303041295 0.001986835 -989.734194
#> 264 8.760475679 NaN NaN 12365.187352
#> 265 -0.436820836 -0.0183973564 0.001770657 -484.214605
#> 266 -1.269961599 -0.0568043424 0.001996705 -1854.521269
#> 267 -0.613792976 -0.0293363423 0.002279172 -975.985662
#> 268 1.203678705 0.0708504483 0.003452725 889.521097
#> 269 -0.296068940 -0.0211015582 0.005054088 -185.509043
#> 270 -0.829066122 -0.0358075306 0.001861920 -864.573755
#> 271 NaN NaN NaN NaN
#> 272 -0.351375561 -0.0150009047 0.001819286 -473.753681
#> 273 0.150327415 0.0064846778 0.001857347 157.277678
#> 274 -0.988417397 -0.0440679636 0.001983822 -1437.771141
#> 275 -0.822413161 -0.0355646834 0.001866579 -1137.908508
#> 276 -1.303660102 -0.0586801708 0.002021971 -1920.628637
#> 277 -0.429536711 -0.0179277006 0.001738973 -537.431714
#> 278 0.545524160 0.0231724584 0.001801081 726.525819
#> 279 -0.495263241 -0.0254863946 0.002641168 -415.494498
#> 280 -0.606750572 -0.0378051897 0.003867227 -426.995372
#> 281 -0.378292539 -0.0313766437 0.006832504 -207.995327
#> 282 -0.152882699 -0.0072621577 0.002251313 -139.604511
#> 283 -1.244332930 -0.0571725082 0.002106616 -1884.484053
#> 284 0.220048129 0.0105199622 0.002280350 199.471000
#> 285 -0.564313811 -0.0234957799 0.001730558 -662.699769
#> 286 -0.228179723 -0.0126056211 0.003042643 -178.948208
#> 287 -0.326493646 -0.0164396434 0.002528923 -280.008726
#> 288 1.345376318 0.0566897145 0.001772354 1748.107242
#> 289 0.287593596 0.0119652317 0.001727956 341.960017
#> 290 -0.594381644 -0.0375696159 0.003979340 -413.080741
#> 291 0.201170539 0.0148920596 0.005450136 122.008542
#> 292 -0.148571078 -0.0091265149 0.003759289 -105.916833
#> 293 0.010286002 0.0004875172 0.002241362 9.416881
#> 294 -0.739476502 -0.1709889834 0.050753557 -5048.580732
#> 295 0.421366427 0.0186065436 0.001946102 423.256070
#> 296 NaN NaN NaN NaN
#> 297 -0.987386894 -0.0425882173 0.001856936 -1031.965625
#> 298 1.455394064 0.0622106489 0.001823793 1547.602103
#> 299 0.855505619 0.0360097777 0.001768587 949.473102
#> 300 0.199538508 0.0138341963 0.004783787 128.044709
#> 301 -1.204218212 -0.0502817393 0.001740418 -1507.947274
#> 302 -0.331171252 -0.0141692383 0.001827231 -352.348661
#> 303 -0.710676118 -0.0348855336 0.002403821 -625.502381
#> 304 -0.261212233 -0.0254009855 0.009367564 -125.105675
#> 305 0.281390964 0.0271242658 0.009206170 135.804830
#> 306 0.339486480 0.0142276017 0.001753300 433.549007
#> 307 0.030520102 0.0016970447 0.003082293 23.793730
#> 308 -0.958061124 -0.0434083567 0.002048659 -926.293832
#> 309 0.183983122 0.0092042192 0.002496505 307.448768
#> 310 -1.193453674 -0.0497890171 0.001737404 -1376.362260
#> 311 0.335321804 0.0212247041 0.003990462 232.829369
#> 312 0.940263557 0.0391347036 0.001729311 1147.196964
#> 313 0.807949184 0.0476594748 0.003467543 1577.759424
#> 314 -1.079317150 -0.0461851845 0.001827733 -1460.790643
#> 315 1.005102219 0.0418093647 0.001727332 1203.404876
#> 316 1.190309154 0.0644014573 0.002918787 2144.683302
#> 317 -0.152401062 -0.0067977749 0.001985612 -150.800787
#> 318 2.674578345 0.2785397582 0.010729483 1195.141780
#> 319 -2.110931775 -0.1479592560 0.004888859 -4774.812204
#> 320 0.431760765 0.0227037043 0.002757452 758.214017
#> 321 1.529696706 0.0857682972 0.003133861 1179.848220
#> 322 1.830617187 0.1334299612 0.005284580 4290.482962
#> 323 -0.724905027 -0.0397350703 0.002995593 -572.280958
#> 324 -0.308355959 -0.0146238719 0.002244111 -282.066657
#> 325 3.124568763 0.2061615156 0.004334594 6658.348516
#> 326 -1.462166791 -0.0826027404 0.003181348 -2740.052875
#> 327 -0.498636810 -0.0279339060 0.003128483 -385.959842
#> 328 -0.351944825 -0.0253507920 0.005161625 -218.509315
#> 329 -0.618676783 -0.0380245560 0.003763251 -440.642018
#> 330 0.553185941 0.0438326307 0.006239282 316.317688
#> 331 0.325631042 0.0471468577 0.020532598 109.565456
#> 332 -0.219343744 -0.0226052265 0.010509423 -99.843219
#> 333 2.252514340 0.1278813345 0.003212785 1711.560639
#> 334 -0.153299991 -0.0128315861 0.006957358 -83.640552
#> 335 -0.751938512 -0.0345018909 0.002100912 -715.398776
#> 336 13.366824863 NaN NaN 5203.288170
#> 337 0.181038368 0.0162783943 0.008020191 92.833635
#> 338 1.276261232 0.0558486774 0.001911243 1298.448525
#> 339 -0.790001158 -0.0333370656 0.001777570 -869.887821
#> 340 -0.047646751 -0.0062480910 0.016905322 -17.519417
#> 341 1.057133565 0.0442185115 0.001746583 1336.747988
#> 342 0.414818230 0.0469411635 0.012643463 1442.226647
#> 343 0.157404917 0.0101337070 0.004127659 332.466697
#> 344 -0.440939383 -0.0336841147 0.005801836 -260.235789
#> 345 0.125157580 0.0079220396 0.003990462 86.913765
#> 346 -0.092744905 -0.0039937631 0.001850887 -127.384232
#> 347 NaN NaN NaN NaN
#> 348 NaN NaN NaN NaN
#> 349 NaN NaN NaN NaN
#> 350 0.101075865 0.0042872829 0.001795927 134.167709
#> 351 -0.362042363 -0.0218119821 0.003616579 -262.526473
#> 352 0.069365553 0.0037079421 0.002849305 123.784811
#> 353 -0.397355847 -0.0303906258 0.005815500 -234.286100
#> 354 0.346400280 0.0264621108 0.005801836 204.460302
#> 355 NaN NaN NaN NaN
#> 356 -0.310375114 -0.0208018788 0.004471826 -205.066561
#> 357 -0.337912664 -0.0146920091 0.001886832 -348.334079
#> 358 0.394462702 0.0306506936 0.006001426 981.642266
#> 359 NaN NaN NaN NaN
#> 360 NaN NaN NaN NaN
#> 361 6.420413805 NaN NaN 3523.294025
#> 362 -0.601318348 -0.0250594075 0.001733721 -744.178387
#> 363 -0.238308928 -0.0150335869 0.003963873 -165.966938
#> 364 -0.291390322 -0.0271828200 0.008627316 -144.705635
#> 365 NaN NaN NaN NaN
#> 366 0.897784789 0.0410625608 0.002087565 1353.031641
#> 367 NaN NaN NaN NaN
#> 368 0.416985567 0.0232798269 0.003107176 323.807971
#> 369 NaN NaN NaN NaN
#> 370 NaN NaN NaN NaN
#> 371 0.475717561 0.0291995314 0.003753360 339.285799
#> 372 NaN NaN NaN NaN
#> 373 NaN NaN NaN NaN
#> 374 NaN NaN NaN NaN
#> 375 -0.019415614 -0.0025738356 0.017270048 -7.070120
#> 376 -0.169161115 -0.0187003500 0.012073221 -72.388512
#> 377 -0.277368862 -0.0223450658 0.006448198 -156.400728
#> 378 -1.429568524 -0.0698205257 0.002379696 -2322.961265
#> 379 0.355583545 0.0160998943 0.002045848 529.220797
#> 380 -0.166697453 -0.0072058993 0.001865124 -230.672073
#> 381 NaN NaN NaN NaN
#> 382 1.082924816 0.0469603482 0.001876939 1120.092051
#> 383 0.314839860 0.0147623454 0.002193702 489.806899
#> 384 0.478531404 0.0202978857 0.001795974 519.638671
#> 385 -0.302495608 -0.0277930758 0.008371133 -152.219923
#> 386 0.162453918 0.0226125342 0.019006589 683.728630
#> 387 -0.372137829 -0.0280450554 0.005647359 -901.728831
#> 388 1.138825268 0.0580296023 0.002589756 963.485505
#> 389 0.019419559 0.0009875935 0.002579622 16.490180
#> 390 0.206108187 0.0161426626 0.006096828 119.081657
#> 391 -0.331101373 -0.0292598941 0.007748990 -172.339490
#> 392 -0.298162000 -0.0275577415 0.008470099 -149.268092
#> 393 NaN NaN NaN NaN
#> 394 1.292659406 0.0776037431 0.003591159 938.381960
#> 395 0.297873912 0.0124544086 0.001745110 376.391880
#> 396 NaN NaN NaN NaN
#> 397 -0.245454116 -0.0214653268 0.007589718 -128.932268
#> 398 -0.464226565 -0.0344167371 0.005466368 -281.123366
#> 399 -0.240295394 -0.0240535469 0.009920587 -112.209572
#> 400 -0.007124841 -0.0007123158 0.009896358 -3.330907
#> 401 -1.364559879 -0.0678141483 0.002463679 -2259.159336
#> 402 -0.994948389 -0.0414739058 0.001734582 -1154.792071
#> 403 -0.131901654 -0.0078169807 0.003499894 -97.068113
#> 404 -0.488006558 -0.0255962322 0.002743517 -401.848096
#> 405 0.075647872 0.0050277362 0.004397819 50.350884
#> 406 3.666462553 NaN NaN 2615.907668
#> 407 -0.413427301 -0.0214589275 0.002686886 -343.949017
#> 408 -0.665574592 -0.0283287166 0.001808316 -716.357175
#> 409 0.129310443 0.0109191751 0.007079894 70.018541
#> 410 3.525687232 NaN NaN 2507.884451
#> 411 -0.727630662 -0.0302693837 0.001727564 -878.396995
#> 412 4.640124709 NaN NaN 7294.944867
#> 413 -0.018146923 -0.0009360764 0.002653766 -15.193199
#> 414 1.758288191 0.1176595701 0.004457938 3826.299040
#> 415 -0.252337543 -0.0246836616 0.009478062 -120.232193
#> 416 -0.283250789 -0.0261371364 0.008442897 -142.005045
#> 417 0.244175947 0.0227658359 0.008617921 121.320875
#> 418 0.137866120 0.0117293197 0.007186184 74.168255
#> 419 1.828808616 0.0897208022 0.002401075 1604.617576
#> 420 -0.961803723 -0.0434809495 0.002039569 -932.717190
#> 421 1.448448722 0.0788054133 0.002951360 1149.095966
#> 422 0.725158377 0.0588772378 0.006549009 405.913446
#> 423 0.877663571 0.0774824978 0.007733559 456.827311
#> 424 0.776513775 0.0738270171 0.008958272 379.031377
#> 425 NaN NaN NaN NaN
#> 426 NaN NaN NaN NaN
#> 427 NaN NaN NaN NaN
#> 428 2.868243212 0.1345594451 0.002196047 4417.957669
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 428 25 1534122 0.2383585 1337495 1523640 -133.0808
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0.2674448 382 15.35836 3656.71 3452.901
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 428 25 1534122 0.2383585
#>
#> $MyImputed
#> y1 y2 y3 y4 y5
#> [1,] 2.792000e+03 1454.00000 950.00000 2792.00000 78.0000000
#> [2,] 1.131900e+04 1154.00000 2044.00000 14412.00000 1071.0000000
#> [3,] 3.285400e+04 30670.00000 4083.00000 32782.00000 4266.0000000
#> [4,] 4.236200e+04 129494.00000 6848.00000 42182.00000 2331.0000000
#> [5,] 3.278000e+03 69.00000 241.00000 2673.00000 135.0000000
#> [6,] 8.530000e+02 0.00000 177.00000 844.00000 87.0000000
#> [7,] 1.531000e+03 0.00000 98.00000 1531.00000 131.0000000
#> [8,] 1.030000e+02 0.00000 0.00000 3.00000 3.0000000
#> [9,] 2.226000e+03 3473.00000 351.00000 2166.00000 493.0000000
#> [10,] 2.512000e+03 39.00000 369.00000 2512.00000 217.0000000
#> [11,] 6.721000e+03 2842.00000 748.00000 6410.00000 551.0000000
#> [12,] 1.053800e+04 314.00000 305.00000 9940.00000 5118.0000000
#> [13,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [14,] 4.740000e+02 4842.00000 29.00000 474.00000 4.0000000
#> [15,] 1.507000e+03 15.00000 121.00000 1507.00000 156.0000000
#> [16,] 5.491000e+03 1404.00000 1071.00000 5491.00000 222.0000000
#> [17,] 3.310000e+02 0.00000 1.00000 66.00000 12.0000000
#> [18,] 8.110000e+02 39.00000 9.00000 811.00000 93.0000000
#> [19,] 9.867000e+03 3897.00000 826.00000 9867.00000 1695.0000000
#> [20,] 2.291400e+04 2684.00000 2436.00000 22096.00000 2566.0000000
#> [21,] 9.635000e+03 7649.00000 643.00000 9635.00000 456.0000000
#> [22,] 7.751000e+03 88801.00000 961.00000 4092.00000 422.0000000
#> [23,] 1.064800e+04 6557.00000 947.00000 10648.00000 1762.0000000
#> [24,] 1.414600e+04 3525.00000 424.00000 14054.00000 1070.0000000
#> [25,] 9.738300e+04 15607.00000 7771.00000 78142.00000 10356.0000000
#> [26,] 5.306700e+04 92953.00000 6717.00000 53059.00000 4776.0000000
#> [27,] 0.000000e+00 1795.00000 0.00000 0.00000 0.0000000
#> [28,] 4.400000e+03 0.00000 250.00000 4349.00000 271.0000000
#> [29,] 1.353000e+03 16.00000 100.00000 1335.00000 196.0000000
#> [30,] 1.101000e+04 2701.00000 1099.00000 10250.00000 1872.0000000
#> [31,] 2.809000e+03 489.00000 319.00000 2809.00000 51.0000000
#> [32,] 2.387100e+04 20153.00000 2156.00000 22923.00000 4174.0000000
#> [33,] 4.122700e+04 46949.00000 3872.00000 37873.00000 5903.0000000
#> [34,] 9.878000e+03 0.00000 1087.00000 9875.00000 2958.0000000
#> [35,] 4.000000e+02 0.00000 0.00000 400.00000 0.0000000
#> [36,] 2.371700e+04 10329.00000 1599.00000 23059.00000 3185.0000000
#> [37,] 1.120000e+02 0.00000 12.00000 112.00000 91.0000000
#> [38,] 1.344500e+04 2172.00000 1808.00000 13418.00000 1977.0000000
#> [39,] 4.830000e+03 0.00000 548.00000 4779.00000 241.0000000
#> [40,] 1.245000e+03 296.00000 151.00000 1232.00000 5.0000000
#> [41,] 4.551130e+05 283746.00000 37227.00000 435094.00000 85409.0000000
#> [42,] 1.035400e+04 3636.00000 2268.00000 10346.00000 733.0000000
#> [43,] 2.315300e+04 86339.00000 513.00000 21998.00000 1408.0000000
#> [44,] 7.146000e+03 4584.00000 401.00000 5821.00000 123.0000000
#> [45,] 3.649000e+03 9.00000 357.00000 3551.00000 428.0000000
#> [46,] 6.160000e+02 62191.00000 72.00000 550.00000 64.0000000
#> [47,] 2.657000e+03 52.00000 356.00000 2623.00000 186.0000000
#> [48,] 2.904000e+03 0.00000 273.00000 2898.00000 923.0000000
#> [49,] 1.440000e+03 615.00000 0.00000 1291.00000 97.0000000
#> [50,] 1.537000e+03 0.00000 249.00000 1537.00000 56.0000000
#> [51,] 1.500000e+03 1468.00000 367.00000 845.00000 37.0000000
#> [52,] 1.834805e+03 1126.20749 204.54736 1768.92913 178.1301815
#> [53,] 7.919000e+03 1149.00000 653.00000 7860.00000 122.0000000
#> [54,] 1.000000e+01 0.00000 6.00000 10.00000 3.0000000
#> [55,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [56,] 3.090000e+02 0.00000 198.00000 309.00000 30.0000000
#> [57,] 7.420000e+02 0.00000 0.00000 742.00000 0.0000000
#> [58,] 4.090000e+02 0.00000 0.00000 409.00000 97.0000000
#> [59,] 5.690000e+02 4080.00000 241.00000 569.00000 95.0000000
#> [60,] 1.909000e+03 1.00000 562.00000 1701.00000 95.0000000
#> [61,] 8.300000e+02 0.00000 260.00000 830.00000 96.0000000
#> [62,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [63,] 1.828000e+03 811.00000 251.00000 1801.00000 56.0000000
#> [64,] 2.063500e+04 12363.00000 2831.00000 20632.00000 1027.0000000
#> [65,] 7.666000e+03 68983.00000 1381.00000 6090.00000 1127.0000000
#> [66,] 1.256000e+03 0.00000 90.00000 1256.00000 0.0000000
#> [67,] 7.420000e+02 0.00000 59.00000 742.00000 186.0000000
#> [68,] 3.199000e+03 499.00000 700.00000 3199.00000 150.0000000
#> [69,] 1.047450e+03 606.92624 130.42296 1013.13266 86.4405459
#> [70,] 1.721000e+03 0.00000 242.00000 1719.00000 138.0000000
#> [71,] 7.149000e+03 0.00000 585.00000 4955.00000 322.0000000
#> [72,] 4.099000e+03 2704.00000 1347.00000 4099.00000 115.0000000
#> [73,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [74,] 1.576000e+03 483.00000 163.00000 1576.00000 13.0000000
#> [75,] 1.535000e+03 2051.00000 182.00000 1408.00000 124.0000000
#> [76,] 5.721000e+03 52.00000 406.00000 5597.00000 290.0000000
#> [77,] 8.240000e+02 0.00000 98.00000 824.00000 47.0000000
#> [78,] 1.803000e+03 288.00000 100.00000 1798.00000 38.0000000
#> [79,] 3.715000e+03 339.00000 1112.00000 3715.00000 177.0000000
#> [80,] 1.433000e+03 37353.00000 5.00000 1433.00000 409.0000000
#> [81,] 3.384000e+03 757.00000 245.00000 3384.00000 152.0000000
#> [82,] 1.961000e+03 0.00000 315.00000 1946.00000 126.0000000
#> [83,] 4.450000e+02 74.00000 98.00000 445.00000 31.0000000
#> [84,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [85,] 1.097000e+03 100.00000 221.00000 1097.00000 93.0000000
#> [86,] 5.303000e+03 393.00000 825.00000 3555.00000 105.0000000
#> [87,] 8.010000e+02 0.00000 110.00000 800.00000 52.0000000
#> [88,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [89,] 1.400000e+02 0.00000 0.00000 0.00000 0.0000000
#> [90,] 5.611600e+04 11635.00000 5568.00000 92281.00000 7672.0000000
#> [91,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [92,] 1.599700e+04 16476.00000 2018.00000 15997.00000 1586.0000000
#> [93,] 2.624000e+03 35.00000 44.00000 2624.00000 33.0000000
#> [94,] 1.145000e+03 13109.00000 190.00000 1072.00000 6.0000000
#> [95,] 1.726000e+03 0.00000 132.00000 1194.00000 25.0000000
#> [96,] 2.957000e+03 11.00000 373.00000 2914.00000 665.0000000
#> [97,] 1.291000e+03 0.00000 144.00000 1191.00000 46.0000000
#> [98,] 6.900000e+02 0.00000 2.00000 680.00000 238.0000000
#> [99,] 1.208000e+03 0.00000 72.00000 1208.00000 36.0000000
#> [100,] 1.060000e+02 0.00000 2.00000 62.00000 45.0000000
#> [101,] 2.600000e+02 0.00000 9.00000 260.00000 22.0000000
#> [102,] 3.835000e+03 27.00000 757.00000 3835.00000 118.0000000
#> [103,] 7.781000e+03 1527.00000 229.00000 7551.00000 218.0000000
#> [104,] 5.406000e+03 518.00000 1327.00000 5365.00000 1269.0000000
#> [105,] 2.094200e+04 6289.00000 1279.00000 20300.00000 684.0000000
#> [106,] 4.783000e+03 0.00000 0.00000 4783.00000 0.0000000
#> [107,] 1.600000e+01 8.00000 0.00000 16.00000 0.0000000
#> [108,] 1.216000e+03 2029.00000 204.00000 1198.00000 178.0000000
#> [109,] 3.040000e+02 605.00000 263.00000 1054.00000 0.0000000
#> [110,] 1.873000e+03 0.00000 126.00000 1873.00000 394.0000000
#> [111,] 2.934000e+03 3676.00000 1152.00000 2889.00000 329.0000000
#> [112,] 2.043000e+03 1499.00000 135.00000 2042.00000 84.0000000
#> [113,] 2.988500e+04 17886.00000 3887.00000 28827.00000 4700.0000000
#> [114,] 2.050300e+04 63073.00000 1957.00000 20503.00000 604.0000000
#> [115,] 1.406800e+04 4848.00000 2134.00000 13524.00000 1066.0000000
#> [116,] 7.810000e+02 70.00000 248.00000 781.00000 133.0000000
#> [117,] 2.501000e+03 33.00000 310.00000 2469.00000 434.0000000
#> [118,] 2.201000e+03 1142.00000 234.00000 2191.00000 85.0000000
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#> [402,] 7.120000e+02 0.00000 0.00000 712.00000 9.0000000
#> [403,] 9.970000e+02 0.00000 214.00000 997.00000 75.0000000
#> [404,] 5.910000e+02 7.00000 65.00000 583.00000 88.0000000
#> [405,] 1.061000e+03 85.00000 70.00000 1061.00000 218.0000000
#> [406,] 5.950000e+02 17037.00000 0.00000 595.00000 105.0000000
#> [407,] 6.290000e+02 0.00000 60.00000 629.00000 144.0000000
#> [408,] 9.690000e+02 497.00000 122.00000 969.00000 209.0000000
#> [409,] 0.000000e+00 1594.00000 0.00000 0.00000 0.0000000
#> [410,] 8.367000e+03 174.00000 702.00000 8367.00000 68.0000000
#> [411,] 1.913000e+03 0.00000 0.00000 1912.00000 0.0000000
#> [412,] 1.787100e+04 19229.00000 1895.00000 17724.00000 1603.0000000
#> [413,] 1.708000e+03 0.00000 208.00000 1707.00000 231.0000000
#> [414,] 1.434300e+04 23398.00000 1703.00000 14334.00000 527.0000000
#> [415,] 0.000000e+00 13.00000 0.00000 0.00000 0.0000000
#> [416,] 2.400000e+01 0.00000 0.00000 24.00000 0.0000000
#> [417,] 5.300000e+02 131.00000 159.00000 530.00000 234.0000000
#> [418,] 6.530000e+02 0.00000 202.00000 653.00000 85.0000000
#> [419,] 2.742000e+03 7572.00000 325.00000 2739.00000 685.0000000
#> [420,] 0.000000e+00 0.00000 0.00000 0.00000 0.0000000
#> [421,] 4.038000e+03 1809.00000 700.00000 3516.00000 294.0000000
#> [422,] 1.667000e+03 104.00000 229.00000 1652.00000 84.0000000
#> [423,] 1.569000e+03 0.00000 289.00000 1569.00000 61.0000000
#> [424,] 1.048000e+03 659.00000 173.00000 1048.00000 56.0000000
#> [425,] 1.367853e+03 818.24027 160.58681 1320.69315 123.7523226
#> [426,] 2.740249e+02 96.83256 57.61003 270.70837 -3.6268385
#> [427,] 9.716676e+02 556.94588 123.28855 940.38791 77.6154996
#> [428,] 1.908300e+04 2627.00000 1709.00000 18121.00000 521.0000000
#> y6
#> [1,] 41.00000
#> [2,] 1106.00000
#> [3,] 2300.00000
#> [4,] 27.00000
#> [5,] 335.00000
#> [6,] 139.00000
#> [7,] 219.00000
#> [8,] 0.00000
#> [9,] 57.00000
#> [10,] 199.00000
#> [11,] 214.00000
#> [12,] 577.00000
#> [13,] 0.00000
#> [14,] 210.00000
#> [15,] 164.00000
#> [16,] 247.00000
#> [17,] 0.00000
#> [18,] 0.00000
#> [19,] 594.00000
#> [20,] 2961.00000
#> [21,] 0.00000
#> [22,] 0.00000
#> [23,] 585.00000
#> [24,] 1.00000
#> [25,] 3569.00000
#> [26,] 2310.00000
#> [27,] 0.00000
#> [28,] 23.00000
#> [29,] 188.00000
#> [30,] 725.00000
#> [31,] 415.00000
#> [32,] 2075.00000
#> [33,] 1842.00000
#> [34,] 1103.00000
#> [35,] 0.00000
#> [36,] 2498.00000
#> [37,] 0.00000
#> [38,] 1512.00000
#> [39,] 383.00000
#> [40,] 0.00000
#> [41,] 23231.00000
#> [42,] 226.00000
#> [43,] 778.00000
#> [44,] 561.00000
#> [45,] 489.00000
#> [46,] 0.00000
#> [47,] 459.00000
#> [48,] 161.00000
#> [49,] 160.00000
#> [50,] 398.00000
#> [51,] 51.00000
#> [52,] 122.45172
#> [53,] 789.00000
#> [54,] 0.00000
#> [55,] 0.00000
#> [56,] 1.00000
#> [57,] 0.00000
#> [58,] 0.00000
#> [59,] 151.00000
#> [60,] 288.00000
#> [61,] 0.00000
#> [62,] 0.00000
#> [63,] 0.00000
#> [64,] 336.00000
#> [65,] 46.00000
#> [66,] 121.00000
#> [67,] 0.00000
#> [68,] 452.00000
#> [69,] 83.30157
#> [70,] 363.00000
#> [71,] 575.00000
#> [72,] 447.00000
#> [73,] 0.00000
#> [74,] 153.00000
#> [75,] 144.00000
#> [76,] 976.00000
#> [77,] 101.00000
#> [78,] 530.00000
#> [79,] 204.00000
#> [80,] 0.00000
#> [81,] 129.00000
#> [82,] 287.00000
#> [83,] 0.00000
#> [84,] 0.00000
#> [85,] 17.00000
#> [86,] 839.00000
#> [87,] 151.00000
#> [88,] 0.00000
#> [89,] 0.00000
#> [90,] 1968.00000
#> [91,] 0.00000
#> [92,] 119.00000
#> [93,] 77.00000
#> [94,] 73.00000
#> [95,] 65.00000
#> [96,] 0.00000
#> [97,] 111.00000
#> [98,] 0.00000
#> [99,] 183.00000
#> [100,] 0.00000
#> [101,] 0.00000
#> [102,] 836.00000
#> [103,] 0.00000
#> [104,] 345.00000
#> [105,] 2180.00000
#> [106,] 384.00000
#> [107,] 0.00000
#> [108,] 108.00000
#> [109,] 0.00000
#> [110,] 155.00000
#> [111,] 508.00000
#> [112,] 402.00000
#> [113,] 2109.00000
#> [114,] 12.00000
#> [115,] 1276.00000
#> [116,] 217.00000
#> [117,] 280.00000
#> [118,] 570.00000
#> [119,] 1.00000
#> [120,] 125.00000
#> [121,] 451.00000
#> [122,] 998.00000
#> [123,] 138.00000
#> [124,] 0.00000
#> [125,] 1597.00000
#> [126,] 2873.00000
#> [127,] 689.00000
#> [128,] 0.00000
#> [129,] 872.00000
#> [130,] 0.00000
#> [131,] 362.00000
#> [132,] 470.00000
#> [133,] 3.00000
#> [134,] 135.00000
#> [135,] 343.00000
#> [136,] 0.00000
#> [137,] 0.00000
#> [138,] 352.00000
#> [139,] 57.00000
#> [140,] 166.00000
#> [141,] 0.00000
#> [142,] 0.00000
#> [143,] 601.00000
#> [144,] 470.00000
#> [145,] 719.00000
#> [146,] 0.00000
#> [147,] 0.00000
#> [148,] 0.00000
#> [149,] 32.00000
#> [150,] 807.00000
#> [151,] 42.00000
#> [152,] 0.00000
#> [153,] 54.76324
#> [154,] 256.00000
#> [155,] 58.00000
#> [156,] 246.00000
#> [157,] 23.00000
#> [158,] 2906.00000
#> [159,] 1161.00000
#> [160,] 1366.00000
#> [161,] 709.00000
#> [162,] 585.00000
#> [163,] 380.00000
#> [164,] 232.00000
#> [165,] 4.00000
#> [166,] 0.00000
#> [167,] 38.00000
#> [168,] 0.00000
#> [169,] 302.00000
#> [170,] 0.00000
#> [171,] 0.00000
#> [172,] 0.00000
#> [173,] 779.00000
#> [174,] 2534.00000
#> [175,] 1607.00000
#> [176,] 697.00000
#> [177,] 0.00000
#> [178,] 2007.00000
#> [179,] 0.00000
#> [180,] 0.00000
#> [181,] 299.00000
#> [182,] 992.00000
#> [183,] 627.00000
#> [184,] 1447.00000
#> [185,] 416.00000
#> [186,] 224.00000
#> [187,] 232.00000
#> [188,] 0.00000
#> [189,] 0.00000
#> [190,] 0.00000
#> [191,] 0.00000
#> [192,] 357.00000
#> [193,] 0.00000
#> [194,] 0.00000
#> [195,] 682.00000
#> [196,] 804.00000
#> [197,] 61.00000
#> [198,] 0.00000
#> [199,] 1335.00000
#> [200,] 1.00000
#> [201,] 0.00000
#> [202,] 0.00000
#> [203,] 1017.00000
#> [204,] 0.00000
#> [205,] 0.00000
#> [206,] 0.00000
#> [207,] 0.00000
#> [208,] 1463.00000
#> [209,] 0.00000
#> [210,] 0.00000
#> [211,] 0.00000
#> [212,] 0.00000
#> [213,] 23.00000
#> [214,] 223.00000
#> [215,] 0.00000
#> [216,] 50.00000
#> [217,] 0.00000
#> [218,] 0.00000
#> [219,] 0.00000
#> [220,] 2210.00000
#> [221,] 79.00000
#> [222,] 31.00000
#> [223,] 0.00000
#> [224,] 0.00000
#> [225,] 0.00000
#> [226,] 8.00000
#> [227,] 209.00000
#> [228,] 746.00000
#> [229,] 756.00000
#> [230,] 135.00000
#> [231,] 0.00000
#> [232,] 101.00000
#> [233,] 0.00000
#> [234,] 0.00000
#> [235,] 0.00000
#> [236,] 0.00000
#> [237,] 0.00000
#> [238,] 76.00000
#> [239,] 268.00000
#> [240,] 0.00000
#> [241,] 0.00000
#> [242,] 0.00000
#> [243,] 494.00000
#> [244,] 482.00000
#> [245,] 0.00000
#> [246,] 0.00000
#> [247,] 0.00000
#> [248,] 101.94845
#> [249,] 0.00000
#> [250,] 0.00000
#> [251,] 6.00000
#> [252,] 0.00000
#> [253,] 0.00000
#> [254,] 310.00000
#> [255,] 0.00000
#> [256,] 0.00000
#> [257,] 0.00000
#> [258,] 1055.00000
#> [259,] 2929.00000
#> [260,] 0.00000
#> [261,] 0.00000
#> [262,] 0.00000
#> [263,] 0.00000
#> [264,] 34.00000
#> [265,] 0.00000
#> [266,] 306.00000
#> [267,] 0.00000
#> [268,] 743.00000
#> [269,] 0.00000
#> [270,] 212.00000
#> [271,] 46.53422
#> [272,] 72.00000
#> [273,] 415.00000
#> [274,] 272.00000
#> [275,] 840.00000
#> [276,] 0.00000
#> [277,] 202.00000
#> [278,] 380.00000
#> [279,] 0.00000
#> [280,] 0.00000
#> [281,] 0.00000
#> [282,] 1.00000
#> [283,] 96.00000
#> [284,] 287.00000
#> [285,] 0.00000
#> [286,] 87.00000
#> [287,] 204.00000
#> [288,] 515.00000
#> [289,] 430.00000
#> [290,] 0.00000
#> [291,] 9.00000
#> [292,] 64.00000
#> [293,] 0.00000
#> [294,] 1393.00000
#> [295,] 0.00000
#> [296,] 45.37053
#> [297,] 11.00000
#> [298,] 371.00000
#> [299,] 912.00000
#> [300,] 102.00000
#> [301,] 0.00000
#> [302,] 98.00000
#> [303,] 0.00000
#> [304,] 0.00000
#> [305,] 0.00000
#> [306,] 381.00000
#> [307,] 173.00000
#> [308,] 0.00000
#> [309,] 485.00000
#> [310,] 0.00000
#> [311,] 0.00000
#> [312,] 269.00000
#> [313,] 1226.00000
#> [314,] 0.00000
#> [315,] 98.00000
#> [316,] 811.00000
#> [317,] 362.00000
#> [318,] 205.00000
#> [319,] 0.00000
#> [320,] 370.00000
#> [321,] 442.00000
#> [322,] 1728.00000
#> [323,] 0.00000
#> [324,] 183.00000
#> [325,] 1752.00000
#> [326,] 0.00000
#> [327,] 0.00000
#> [328,] 0.00000
#> [329,] 0.00000
#> [330,] 201.00000
#> [331,] 0.00000
#> [332,] 0.00000
#> [333,] 269.00000
#> [334,] 0.00000
#> [335,] 207.00000
#> [336,] 0.00000
#> [337,] 20.00000
#> [338,] 151.00000
#> [339,] 211.00000
#> [340,] 0.00000
#> [341,] 0.00000
#> [342,] 671.00000
#> [343,] 964.00000
#> [344,] 0.00000
#> [345,] 198.00000
#> [346,] 0.00000
#> [347,] 52.74062
#> [348,] 32.32047
#> [349,] 66.56647
#> [350,] 234.00000
#> [351,] 0.00000
#> [352,] 1031.00000
#> [353,] 0.00000
#> [354,] 0.00000
#> [355,] 57.11834
#> [356,] 0.00000
#> [357,] 12.00000
#> [358,] 1155.00000
#> [359,] 71.55375
#> [360,] 31.51697
#> [361,] 0.00000
#> [362,] 0.00000
#> [363,] 0.00000
#> [364,] 0.00000
#> [365,] 148.49641
#> [366,] 1112.00000
#> [367,] 72.66203
#> [368,] 237.00000
#> [369,] 68.81074
#> [370,] 72.96681
#> [371,] 0.00000
#> [372,] 53.82120
#> [373,] 57.06293
#> [374,] 89.09235
#> [375,] 0.00000
#> [376,] 0.00000
#> [377,] 0.00000
#> [378,] 0.00000
#> [379,] 418.00000
#> [380,] 0.00000
#> [381,] 91.19809
#> [382,] 401.00000
#> [383,] 0.00000
#> [384,] 294.00000
#> [385,] 0.00000
#> [386,] 9.00000
#> [387,] 650.00000
#> [388,] 0.00000
#> [389,] 0.00000
#> [390,] 0.00000
#> [391,] 0.00000
#> [392,] 0.00000
#> [393,] 129.62786
#> [394,] 798.00000
#> [395,] 93.00000
#> [396,] 113.91793
#> [397,] 0.00000
#> [398,] 0.00000
#> [399,] 0.00000
#> [400,] 0.00000
#> [401,] 150.00000
#> [402,] 0.00000
#> [403,] 0.00000
#> [404,] 54.00000
#> [405,] 0.00000
#> [406,] 15.00000
#> [407,] 367.00000
#> [408,] 0.00000
#> [409,] 0.00000
#> [410,] 0.00000
#> [411,] 0.00000
#> [412,] 1426.00000
#> [413,] 0.00000
#> [414,] 1.00000
#> [415,] 0.00000
#> [416,] 0.00000
#> [417,] 0.00000
#> [418,] 0.00000
#> [419,] 0.00000
#> [420,] 0.00000
#> [421,] 0.00000
#> [422,] 0.00000
#> [423,] 261.00000
#> [424,] 76.00000
#> [425,] 99.23316
#> [426,] 44.84409
#> [427,] 79.53340
#> [428,] 1.00000
#>
#> $Mestimate
#> y1 y2 y3 y4 y5 y6
#> [1,] 2971120 2617951 290873.2 2852134 321989.1 150667.5
#>
#> $Mcv
#> y1 y2 y3 y4 y5 y6
#> [1,] 0.2717804 0.4647904 0.3326611 0.2863722 0.433537 0.6084739
#>
#> $MestimateTotal
#> y1 y2 y3 y4 y5 y6
#> [1,] 2971120 2617951 290873.2 2852134 321989.1 150667.5
#>
#> $McvTotal
#> y1 y2 y3 y4 y5 y6
#> [1,] 0.2717804 0.4647904 0.3326611 0.2863722 0.433537 0.6084739
#>