INTERNAL FUNCTION: Regeression imputation.
LmImpute.RdImputation by weighted regeression, using lm, allowing multiple explanatory variables and multiple response variables. Impute missing and wrong values (category 3) by the model based on representative data (category 1). Some data are considered correct but not representative (category 2).
Usage
LmImpute(
data,
model = "y~x",
weights = NULL,
limitModel = 2.5,
limitIterate = 4.5,
limitImpute = 50,
maxiter = 10,
returnIter = TRUE,
returnYHat = FALSE,
returnFirst = FALSE,
returnLast = TRUE,
returnFinal = FALSE,
MultiFuction = function(x) {
max(abs(x))
},
estimationGroup = TRUE,
unfoldCoef = FALSE,
category123 = NULL,
forceCategory2 = rep(FALSE, N),
BackTransform = NULL,
warningEstimate = "estimate: Missing yImputed replaced by zero",
removeEmpty = FALSE,
NArStudHandling = warning,
cvPercent = TRUE,
returnSameType = FALSE
)Arguments
- data
Input data set (data.frame, data.table or list)
- model
String with model formula
- weights
NULL or string with weight expression
- limitModel
Studentized residuals limit. Above limit -> category 2.
- limitIterate
Studentized residuals limit for iterative calculation of studentized residuals.
- limitImpute
Studentized residuals limit. Above limit -> category 3. No imputation when 0.
- maxiter
Maximum number of iterations.
- returnIter
When TRUE, iteration when observation was thrown outin output.
- returnYHat
When TRUE, fitted values and corresponding estimates in output.
- returnFirst
When TRUE, studentized residuals from first iteration in output.
- returnLast
When TRUE, some results from last iteration in output.
- returnFinal
When TRUE, extra results from final model in output.
- MultiFuction
Transforming rStud for several responses into a single positive value.
- estimationGroup
Total estimates will be be computed within each group. Default (and TRUE) is a single group (estimationGroup <- rep(1, N) ).
- unfoldCoef
When TRUE several elements of coef will be spilt as several ouput elements. unfoldCoef=2 is a specialised variant used to ensure two coefficients in output (extra coefficient zero).
- category123
When non-NULL, this is used directly with no iteration.
- forceCategory2
Force category 2 (can be useful for elements imputed by another method)
- BackTransform
When model contains transformation of y (e.g: "log(y)~x") a function (e.g: exp) can be supplied to transform back to original scale before calculation of leaveOutResid, yHat, yImputed, estimate, estimateYHat, estimateOrig and seRobust.
- warningEstimate
Warning text when missing values. Use NULL to avoid warning.
- removeEmpty
When TRUE empty elements will be removed from output.
- NArStudHandling
Function (warning or stop) taking a message as input. Used when rStud in model (category 1) is missing.
- cvPercent
When TRUE (default) cv output is in percent
- returnSameType
When TRUE and when the type of input y variable(s) is integer, the output type of yImputed and estimate is also integer. Estimates/sums are then calculated from rounded imputed values.
Value
A list with separate elements. Each element can be a scalar, vector or a matrix. Possible elements are:
- x
The input x variable
- y
The input y variable
- strata
The input strata variable
- category123
The three imputation groups: representative (1), correct but not representative (2), wrong (3) and zero when x is missing.
- yHat
Fitted values
- yImputed
Imputed y-data
- rStudFirst
Initial studentized residuals
- rStud
The final (or last) studentized residuals
- dffits
The final (or last) DFFITS statistic
- hii
The final (or last) leverages (diagonal elements of hat matrix)
- leaveOutResid
The final (or last) outside-model residual
- iter
Iteration when observation was thrown out
- N
Total number of observations (rows in data)
- nImputed
Number of imputed observations
- estimate
Totale estimate from imputed data
- cv
Coefficient of variation = seEstimate/estimate. In percent when cvPercent=TRUE (default)
- estimateYhat
Totale estimate based on model fits
- estimateOrig
Estimate based on original data with missing set to zero
- coef
The final (or last) model coefficient(s). Several variables when several parameters ("coef..Intercept.", "coef.x").
- nModel
The final (or last) number of observations in model.
- sigmaFirst
Initial square root of the estimated variance parameter
- sigmaHat
The final (or last) square root of the estimated variance parameter
- seEstimate
The final (or last) standard error estimate of the total estimate from imputed data
- seRobust
Robust variant of seEstimate (experimental)
Examples
z = data.frame( # Same example as in Thorud et.al (2010).
x = c(1.1, 2.2, 3.3, 4.4, 5.5),
y = c(2.3, 3.1, 3.2, 3.7, 4.5))
LmImpute(z) # Simple regression
#> $category123
#> [1] 1 1 1 1 1
#>
#> $N
#> [1] 5
#>
#> $yImputed
#> 1 2 3 4 5
#> 2.3 3.1 3.2 3.7 4.5
#>
#> $nImputed
#> [1] 0
#>
#> $estimate
#> [1] 16.8
#>
#> $cv
#> [1] 0
#>
#> $estimateOrig
#> [1] 16.8
#>
#> $coef
#> (Intercept) x
#> 1.8600000 0.4545455
#>
#> $nModel
#> [1] 5
#>
#> $rStud
#> 1 2 3 4 5
#> -0.382546 1.819435 -0.800000 -0.875481 1.086611
#>
#> $dffits
#> 1 2 3 4 5
#> -0.4685213 1.1911000 -0.4000000 -0.5731369 1.3308209
#>
#> $hii
#> 1 2 3 4 5
#> 0.6 0.3 0.2 0.3 0.6
#>
#> $leaveOutResid
#> 1 2 3 4 5
#> -0.1500000 0.3428571 -0.2000000 -0.2285714 0.3500000
#>
#> $sigmaHat
#> [1] 0.2097618
#>
#> $seEstimate
#> [1] 0
#>
#> $seRobust
#> [1] 0
#>
#> $iter
#> [1] 0 0 0 0 0
#>
LmImpute(z, model = "y~x-1", weights = "1/x") # Ratio model
#> $category123
#> [1] 2 1 1 1 1
#>
#> $N
#> [1] 5
#>
#> $yImputed
#> 1 2 3 4 5
#> 2.3 3.1 3.2 3.7 4.5
#>
#> $nImputed
#> [1] 0
#>
#> $estimate
#> [1] 16.8
#>
#> $cv
#> [1] 0
#>
#> $estimateOrig
#> [1] 16.8
#>
#> $coef
#> x
#> 1.018182
#>
#> $nModel
#> [1] 5
#>
#> $rStud
#> 1 2 3 4 5
#> 2.5788400 0.8581743 -0.1218808 -0.5638090 -0.7774217
#>
#> $dffits
#> 1 2 3 4 5
#> 0.68922398 0.33660367 -0.06094041 -0.33998965 -0.54972012
#>
#> $hii
#> 1 2 3 4 5
#> 0.06666667 0.13333333 0.20000000 0.26666667 0.33333333
#>
#> $leaveOutResid
#> 1 2 3 4 5
#> 1.2642857 0.9923077 -0.2000000 -1.0636364 -1.6500000
#>
#> $sigmaHat
#> [1] 0.7014325
#>
#> $seEstimate
#> [1] 0
#>
#> $seRobust
#> [1] 0
#>
#> $iter
#> [1] 0 0 0 0 0
#>
rateData <- KostraData("rateData") # Real Kostra data set
w <- rateData$data[, c(16, 5, 14, 15, 19)]
w <- w[is.finite(w[,"Ny.kostragruppe"]), ] # Remove Longyearbyen
w[w[,"Ny.kostragruppe"]>13,"Ny.kostragruppe"]=13 # Combine small strata
names(w) = c("x", "y", "y14", "y15", "k")
# Ratio model within each strata assumming common variance
LmImpute(w, "y~x:factor(k)-1", weights = "1/x", estimationGroup = w$k)
#> $category123
#> [1] 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1
#> [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [149] 2 1 1 1 3 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1
#> [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [260] 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 3
#> [297] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1
#> [334] 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1 1 1 1 1 3 1 1 1 3 3 1 1 1 1 3 1 3 1 3 3
#> [371] 1 3 3 3 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 3 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [408] 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 2
#>
#> $N
#> [1] 428
#>
#> $yImputed
#> 1 2 3 4 5 6
#> 2792.0000 11319.0000 32854.0000 42362.0000 3278.0000 853.0000
#> 7 8 9 10 11 12
#> 1531.0000 103.0000 2226.0000 2512.0000 6721.0000 10538.0000
#> 13 14 15 16 17 18
#> 0.0000 474.0000 1507.0000 5491.0000 331.0000 811.0000
#> 19 20 21 22 23 24
#> 9867.0000 22914.0000 9635.0000 7751.0000 10648.0000 14146.0000
#> 25 26 27 28 29 30
#> 97383.0000 53067.0000 0.0000 4400.0000 1353.0000 11010.0000
#> 31 32 33 34 35 36
#> 2809.0000 23871.0000 41227.0000 9878.0000 400.0000 23717.0000
#> 37 38 39 40 41 42
#> 112.0000 13445.0000 4830.0000 1245.0000 455113.0000 10354.0000
#> 43 44 45 46 47 48
#> 23153.0000 7146.0000 3649.0000 616.0000 2657.0000 2904.0000
#> 49 50 51 52 53 54
#> 1440.0000 1537.0000 1500.0000 1291.8106 7919.0000 10.0000
#> 55 56 57 58 59 60
#> 0.0000 309.0000 742.0000 409.0000 569.0000 1909.0000
#> 61 62 63 64 65 66
#> 830.0000 0.0000 1828.0000 20635.0000 7666.0000 1256.0000
#> 67 68 69 70 71 72
#> 742.0000 3199.0000 1345.9104 1721.0000 7149.0000 4099.0000
#> 73 74 75 76 77 78
#> 0.0000 1576.0000 1535.0000 5721.0000 824.0000 1803.0000
#> 79 80 81 82 83 84
#> 3715.0000 1433.0000 3384.0000 1961.0000 445.0000 0.0000
#> 85 86 87 88 89 90
#> 1097.0000 5303.0000 801.0000 0.0000 140.0000 56116.0000
#> 91 92 93 94 95 96
#> 0.0000 15997.0000 2624.0000 1145.0000 1726.0000 2957.0000
#> 97 98 99 100 101 102
#> 1291.0000 690.0000 1208.0000 106.0000 260.0000 3835.0000
#> 103 104 105 106 107 108
#> 7781.0000 5406.0000 20942.0000 4783.0000 16.0000 1216.0000
#> 109 110 111 112 113 114
#> 304.0000 1873.0000 2934.0000 2043.0000 29885.0000 20503.0000
#> 115 116 117 118 119 120
#> 14068.0000 781.0000 2501.0000 2201.0000 3876.0000 1232.0000
#> 121 122 123 124 125 126
#> 2907.0000 7164.0000 1143.0000 0.0000 12781.0000 72675.0000
#> 127 128 129 130 131 132
#> 9812.0000 106.0000 6103.0000 4926.0000 1600.0000 2033.0000
#> 133 134 135 136 137 138
#> 265.0000 447.0000 3801.0000 0.0000 1015.0000 2806.0000
#> 139 140 141 142 143 144
#> 377.0000 1587.0000 2287.0000 0.0000 2037.0000 8696.0000
#> 145 146 147 148 149 150
#> 23978.0000 0.0000 2438.0000 370.0000 11348.0000 4156.0000
#> 151 152 153 154 155 156
#> 387.0000 1072.0000 420.5518 1088.0000 784.0000 3053.0000
#> 157 158 159 160 161 162
#> 4103.0000 78937.0000 14448.0000 11708.0000 6981.0000 6404.0000
#> 163 164 165 166 167 168
#> 3191.0000 1007.0000 1879.0000 696.0000 455.0000 1512.0000
#> 169 170 171 172 173 174
#> 8749.0000 45.0000 863.0000 739.0000 5848.0000 47888.0000
#> 175 176 177 178 179 180
#> 138672.0000 28370.0000 0.0000 5084.0000 566.0000 0.0000
#> 181 182 183 184 185 186
#> 7220.0000 6665.0000 5484.0000 22687.0000 11144.0000 1386.0000
#> 187 188 189 190 191 192
#> 2357.0000 2196.0000 4214.0000 7117.0000 0.0000 1491.0000
#> 193 194 195 196 197 198
#> 178.0000 15.0000 5125.0000 13044.0000 563.0000 2689.0000
#> 199 200 201 202 203 204
#> 205308.0000 674.0000 1531.0000 262.0000 6421.0000 0.0000
#> 205 206 207 208 209 210
#> 169.0000 829.0000 0.0000 6358.0000 1092.0000 1371.0000
#> 211 212 213 214 215 216
#> 633.0000 25.0000 8113.0000 5161.0000 1435.0000 572.0000
#> 217 218 219 220 221 222
#> 2162.0000 2002.0000 0.0000 7228.0000 9927.0000 4074.0000
#> 223 224 225 226 227 228
#> 0.0000 846.0000 0.0000 2720.0000 2169.0000 8647.0000
#> 229 230 231 232 233 234
#> 4004.0000 1303.0000 1542.0000 14126.0000 0.0000 658.0000
#> 235 236 237 238 239 240
#> 387.0000 12094.0000 0.0000 1048.0000 2397.0000 397.0000
#> 241 242 243 244 245 246
#> 0.0000 0.0000 8456.0000 11700.0000 0.0000 1079.0000
#> 247 248 249 250 251 252
#> 285.0000 1037.5713 5772.0000 94.0000 758.0000 1895.0000
#> 253 254 255 256 257 258
#> 0.0000 3038.0000 0.0000 8526.0000 2281.0000 24205.0000
#> 259 260 261 262 263 264
#> 22851.0000 7486.0000 1064.0000 405.0000 3423.0000 5817.0000
#> 265 266 267 268 269 270
#> 1780.0000 932.0000 3974.0000 3098.0000 601.0000 461.0000
#> 271 272 273 274 275 276
#> 325.7121 3714.0000 3436.0000 2024.0000 2111.0000 1115.0000
#> 277 278 279 280 281 282
#> 2432.0000 3288.0000 554.0000 0.0000 0.0000 1770.0000
#> 283 284 285 286 287 288
#> 1287.0000 2093.0000 1862.0000 1061.0000 980.0000 7244.0000
#> 289 290 291 292 293 294
#> 5687.0000 0.0000 958.0000 1105.0000 1765.0000 77340.0000
#> 295 296 297 298 299 300
#> 3297.0000 312.3005 14.0000 3938.0000 5014.0000 1070.0000
#> 301 302 303 304 305 306
#> 388.0000 2042.0000 2.0000 0.0000 564.0000 5541.0000
#> 307 308 309 310 311 312
#> 1462.0000 0.0000 7918.0000 0.0000 1926.0000 5310.0000
#> 313 314 315 316 317 318
#> 12273.0000 1835.0000 2014.0000 14395.0000 2009.0000 3413.0000
#> 319 320 321 322 323 324
#> 2123.0000 9687.0000 3978.0000 23850.0000 0.0000 1291.0000
#> 325 326 327 328 329 330
#> 25837.0000 3302.0000 473.0000 0.0000 0.0000 1379.0000
#> 331 332 333 334 335 336
#> 297.0000 0.0000 3258.0000 0.0000 331.0000 85.0000
#> 337 338 339 340 341 342
#> 405.0000 5225.0000 607.0000 0.0000 132.0000 32268.0000
#> 343 344 345 346 347 348
#> 13906.0000 0.0000 1226.0000 5188.0000 697.2741 172.2379
#> 349 350 351 352 353 354
#> 598.8367 5115.0000 594.0000 8888.0000 22.0000 1127.0000
#> 355 356 357 358 359 360
#> 447.6945 354.0000 1770.0000 20207.0000 653.2809 152.6376
#> 361 362 363 364 365 366
#> 14.0000 2027.0000 744.0000 0.0000 1614.7632 8214.0000
#> 367 368 369 370 371 372
#> 1100.2807 2327.0000 1022.3698 1106.4463 1529.0000 409.6948
#> 373 374 375 376 377 378
#> 784.7137 878.1563 22.0000 0.0000 147.0000 1959.0000
#> 379 380 381 382 383 384
#> 2793.0000 4907.0000 840.4650 2105.0000 9559.0000 3177.0000
#> 385 386 387 388 389 390
#> 0.0000 31866.0000 15689.0000 4104.0000 2090.0000 891.0000
#> 391 392 393 394 395 396
#> 0.0000 0.0000 2304.7353 3622.0000 5510.0000 1185.9920
#> 397 398 399 400 401 402
#> 146.0000 0.0000 0.0000 225.0000 1766.0000 712.0000
#> 403 404 405 406 407 408
#> 997.0000 591.0000 1061.0000 595.0000 629.0000 969.0000
#> 409 410 411 412 413 414
#> 0.0000 8367.0000 1913.0000 17871.0000 1708.0000 14343.0000
#> 415 416 417 418 419 420
#> 0.0000 24.0000 530.0000 653.0000 2742.0000 0.0000
#> 421 422 423 424 425 426
#> 4038.0000 1667.0000 1569.0000 1048.0000 1637.8095 595.2546
#> 427 428
#> 1267.9198 19083.0000
#>
#> $nImputed
#> [1] 25
#>
#> $estimate
#> 1 2 3 4 5 6
#> 21086.000 67621.130 85793.566 6836.519 16906.056 44947.894
#> 7 8 10 11 12 13
#> 125085.000 150654.000 57945.000 219433.000 140472.000 2034281.255
#>
#> $cv
#> 1 2 3 4 5 6
#> 0.00000000 7.42393494 3.85189191 26.44243529 21.33583944 8.83719597
#> 7 8 10 11 12 13
#> 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.05235483
#>
#> $estimateOrig
#> 1 2 3 4 5 6 7 8 10 11
#> 21086 61014 80875 6011 13997 38599 125085 150654 57945 219433
#> 12 13
#> 140472 2033686
#>
#> $coef
#> x:factor(k)1 x:factor(k)2 x:factor(k)3 x:factor(k)4 x:factor(k)5
#> 0.2935828 0.3435666 0.7243748 0.3397197 0.3193256
#> x:factor(k)6 x:factor(k)7 x:factor(k)8 x:factor(k)10 x:factor(k)11
#> 0.6066545 0.3194187 0.5033864 0.2986332 0.5133332
#> x:factor(k)12 x:factor(k)13
#> 0.8272207 0.6059627
#>
#> $nModel
#> [1] 401
#>
#> $rStud
#> [1] -2.648828e+00 -1.334876e+00 -3.495190e-02 -5.751619e-01 4.566773e-03
#> [6] 3.188541e-01 2.337227e-01 -1.431227e-01 2.540252e-01 -1.669789e-01
#> [11] -2.720361e-01 2.011182e+00 -6.172375e-01 -1.200993e+00 -2.881874e-01
#> [16] 1.319137e-01 -4.990575e-01 -3.166005e-01 1.039300e+00 7.686241e-01
#> [21] 7.716006e-01 -3.564075e-02 1.026229e+00 -3.723908e-01 1.980524e+00
#> [26] 2.002132e+00 -1.197047e+00 -2.636097e-01 -6.304721e-01 1.227672e+00
#> [31] -1.873425e-01 2.809461e-01 1.204131e+00 -7.666383e-01 -5.966981e-01
#> [36] 4.740245e-01 -1.354386e+00 -1.858736e-01 2.429262e-01 1.485867e-01
#> [41] 2.289566e+00 3.086466e-01 8.251088e-01 -2.117494e+00 4.126268e-01
#> [46] -1.168282e+00 4.623082e-01 1.255281e-01 -6.397329e-01 -4.240695e-02
#> [51] -7.903920e-01 NA -9.707912e-01 -1.212283e+00 -6.729041e-01
#> [56] -3.353102e-01 -4.192002e-01 -3.109147e-01 3.801020e-02 -1.071773e+00
#> [61] -2.073726e-03 -4.000178e-01 8.092004e-01 7.019950e-01 -1.789001e+00
#> [66] 1.847335e-01 5.629764e-02 1.002604e+00 NA 2.240953e-01
#> [71] 9.369469e-01 3.996081e-01 -5.656710e-01 1.893818e-02 -4.385181e-01
#> [76] 9.370456e-01 -8.990401e-01 -6.197382e-01 5.750174e-01 -4.499530e-01
#> [81] -1.816996e-01 9.382646e-02 -1.077840e+00 -5.568353e-01 2.387297e-01
#> [86] 7.244280e-01 3.523877e-02 -5.716721e-01 -6.085399e-01 1.694475e+00
#> [91] -2.937790e+00 -3.485838e-01 -2.794483e-01 7.201533e-01 2.759249e-01
#> [96] 6.022430e-01 2.727024e-01 -1.179251e+00 -9.070444e-01 -5.450169e-01
#> [101] -2.524300e-01 -7.295774e-02 4.334893e-01 -1.760469e+00 9.740278e-01
#> [106] -1.644084e+00 -9.071988e-01 2.414220e-01 -4.294312e-01 1.921852e-01
#> [111] -2.413255e+00 -3.944632e-01 6.073523e-01 -9.942136e-01 -1.755006e+00
#> [116] -4.789743e-01 -8.501579e-02 5.808916e-01 -2.550575e-01 -2.071219e-01
#> [121] -2.229899e-01 -1.179133e+00 -1.350988e-01 -4.317162e-01 -1.391283e+00
#> [126] 4.961483e+00 8.594609e-01 -3.541774e-01 -2.478563e-01 -1.481934e-01
#> [131] 8.180047e-02 -4.784948e-01 -1.075285e+00 -3.760885e-01 -4.269401e-01
#> [136] -3.795989e-01 -6.752620e-03 1.163504e+00 -6.514273e-02 6.332782e-01
#> [141] 4.087266e-01 -1.309256e+00 -5.335694e-01 -9.657308e-01 -3.995672e-01
#> [146] -4.998732e-01 1.203920e+00 -5.427319e-01 3.348898e+00 -3.642445e-01
#> [151] -5.677294e-01 -3.325646e-02 NA 1.811490e-02 4.528512e-02
#> [156] 1.922966e+00 3.384880e+00 2.532701e+00 1.592348e+00 2.016359e+00
#> [161] 7.120594e-01 -1.986881e-01 4.698305e-01 -7.196967e-01 7.166738e-01
#> [166] 1.187278e-01 -1.020368e-01 -7.803435e-02 1.399784e+00 -3.580156e-01
#> [171] -1.566645e+00 -2.519276e-01 3.427849e-01 2.742039e-01 4.555368e+00
#> [176] 9.099552e-01 -5.026775e-01 2.054471e+00 -2.228704e-01 -1.298875e+00
#> [181] 2.509162e-01 -5.908734e-01 -1.313849e-01 1.243707e+00 1.643986e+00
#> [186] 5.251316e-01 -1.042424e+00 1.199439e-01 8.609321e-01 1.607509e+00
#> [191] -5.717626e-01 -7.495330e-02 -1.688792e-05 -2.605618e-01 -1.125721e+00
#> [196] -1.790244e+00 1.023872e+00 -5.706754e-01 2.167214e+00 -2.480979e-01
#> [201] -5.240483e-01 -1.574699e+00 -6.637905e-01 -1.198054e+00 -4.384918e-01
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#> [241] -7.399130e-01 -8.362892e-01 1.627393e+00 3.132615e+00 -4.791457e-01
#> [246] 5.872720e-02 -3.919628e-01 NA -1.886654e-01 -4.845739e-01
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#> [266] -1.146663e+00 2.271374e-01 1.490625e+00 -2.905094e-01 -4.856426e-01
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#> [276] -5.066208e-01 -3.462462e-01 -1.888700e-01 -2.506819e-01 -4.802132e-01
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#> [336] -1.528831e-01 4.675203e-02 9.168451e-01 -8.268930e-01 -2.213010e-01
#> [341] -1.191662e+00 2.182510e-01 9.246452e-01 -3.611262e-01 -1.594878e-01
#> [346] 3.617607e-01 NA NA NA -3.572273e-01
#> [351] -1.038984e-01 -5.798457e-01 -3.437384e-01 1.829132e-01 NA
#> [356] -5.233593e-01 -6.552330e-01 8.011754e-01 NA NA
#> [361] -3.235908e-01 -1.226757e+00 -3.236048e-01 -5.714710e-01 NA
#> [366] 8.219112e-02 NA 2.825478e-01 NA NA
#> [371] 5.432818e-01 NA NA NA -3.881277e-01
#> [376] -2.790257e-01 -2.256656e-01 -1.055427e+00 -6.097213e-01 2.473312e-01
#> [381] NA 2.400239e-01 1.257917e+00 2.569396e-01 -3.060034e-01
#> [386] -1.376688e+00 1.345044e-01 1.227951e+00 5.554846e-01 3.125671e-02
#> [391] -3.169050e-01 -5.762319e-01 NA 1.400606e+00 7.313310e-01
#> [396] NA -1.935762e-01 -3.709602e-01 -3.061713e-01 -6.519039e-02
#> [401] -2.203687e+00 -8.583847e-01 -2.398838e-01 -6.363241e-01 -4.806316e-02
#> [406] -4.521119e-01 -8.101250e-01 -1.095633e+00 -6.245726e-01 4.434057e+00
#> [411] -1.201946e+00 2.730011e+00 -2.345836e-01 -4.979966e-01 -5.476732e-01
#> [416] -5.553908e-01 -8.909932e-02 -7.074130e-02 1.900344e-01 -1.354409e+00
#> [421] 1.200450e+00 7.016961e-01 7.630320e-01 4.086617e-01 NA
#> [426] NA NA 3.188076e+00
#>
#> $dffits
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#> [21] 1.742010e-01 -8.384652e-03 2.293121e-01 -3.530637e-02 4.078550e-01
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#> [46] -3.973584e-01 7.619267e-02 1.801298e-02 -7.724048e-02 -7.039982e-03
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#> [71] 1.752641e-01 4.741649e-02 -7.606357e-02 3.040321e-03 -4.805269e-02
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#> [101] -4.565511e-02 -2.018324e-02 9.571683e-02 -1.593230e-01 9.048446e-02
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#> [151] -9.808344e-02 -5.750281e-03 NaN 4.150268e-03 6.289266e-03
#> [156] 2.713287e-01 6.001168e-02 4.408756e-01 3.725119e-01 3.073274e-01
#> [161] 1.049931e-01 -4.452043e-02 8.690428e-02 -1.238316e-01 2.763265e-01
#> [166] 1.455457e-02 -3.380469e-02 -1.320388e-02 1.993436e-01 -7.195829e-02
#> [171] -2.993364e-01 -6.219839e-03 9.901202e-02 4.379874e-02 NaN
#> [176] 1.014907e-01 -1.105409e-01 2.801988e-01 -2.833573e-02 -2.899732e-01
#> [181] 5.661379e-02 -1.519832e-01 -2.668056e-02 1.163606e-01 3.171272e-01
#> [186] 1.065679e-02 -2.173054e-01 1.901428e-02 3.103549e-02 3.373632e-01
#> [191] -7.770992e-02 -1.256728e-02 -2.950235e-06 -3.696972e-02 -2.951872e-01
#> [196] -2.135392e-01 1.094753e-01 -8.267869e-02 6.908285e-01 -6.109191e-02
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#> [211] -5.159814e-03 -3.808884e-02 3.255837e-02 3.673571e-02 7.280782e-03
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#> [221] -1.231729e-01 9.804547e-02 -3.867695e-03 -1.052442e-01 -2.148446e-01
#> [226] -7.222235e-02 4.420533e-02 -3.313625e-01 2.124390e-01 1.576868e-01
#> [231] 6.035542e-02 3.680462e-01 -1.110183e-01 5.755020e-02 -2.060019e-02
#> [236] 8.387670e-01 -1.737609e-01 9.077131e-02 1.123787e-01 -1.938346e-01
#> [241] -1.792527e-02 -1.572213e-01 2.937740e-01 5.508355e-01 -1.004367e-01
#> [246] 7.473284e-03 -5.087265e-02 NaN -4.004193e-02 -6.177469e-02
#> [251] -1.931842e-01 -5.447407e-02 -9.182920e-02 -2.239259e-03 -9.550168e-02
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#> [261] -3.837014e-03 -3.891567e-02 -5.985056e-02 6.752236e-02 1.560839e-02
#> [266] -1.685142e-01 5.481059e-02 2.717323e-01 -4.743081e-02 -7.917503e-02
#> [271] NaN 5.977834e-02 2.411335e-01 -3.968474e-02 -9.260083e-02
#> [276] -1.130280e-01 -4.339621e-02 -2.522610e-02 -3.269296e-02 -1.756522e-01
#> [281] -5.794563e-02 -6.066344e-03 -1.121199e-01 1.224731e-01 -5.084351e-02
#> [286] 1.189929e-02 -6.038628e-03 9.723721e-02 1.183162e-01 -4.878137e-02
#> [291] 6.673367e-02 -2.309768e-02 -7.150170e-02 -6.516577e-01 1.295770e-01
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#> [301] -1.365975e-01 2.833800e-02 -7.882337e-02 -4.352945e-02 3.580513e-02
#> [306] 9.063704e-02 4.068903e-02 -9.580639e-02 1.991765e-01 -1.304273e-01
#> [311] 8.569744e-02 2.341801e-01 3.464240e-01 -3.040458e-02 -4.959659e-02
#> [316] 4.181340e-01 9.153699e-02 3.417918e-01 -1.880071e-01 1.379488e-01
#> [321] 1.916284e-01 1.649009e-01 -8.691414e-02 2.494559e-02 9.210795e-01
#> [326] -2.344569e-01 -2.763157e-02 -7.462641e-02 -1.374810e-01 1.347102e-01
#> [331] 1.447534e-03 -6.141953e-02 2.113607e-01 -5.700618e-02 -6.926873e-02
#> [336] -2.944822e-02 7.511415e-03 1.854210e-01 -9.109761e-02 -2.522046e-02
#> [341] -1.511577e-01 2.851905e-02 1.982495e-01 -6.715199e-02 -2.170918e-02
#> [346] 4.983838e-02 NaN NaN NaN -7.645113e-02
#> [351] -1.167915e-02 -1.699043e-01 -6.385096e-02 2.808050e-02 NaN
#> [356] -9.026526e-02 -1.340618e-01 7.487494e-02 NaN NaN
#> [361] -5.585082e-02 -2.441724e-01 -5.894116e-02 -7.345055e-02 NaN
#> [366] 2.012375e-02 NaN 4.313629e-02 NaN NaN
#> [371] 1.232046e-01 NaN NaN NaN -3.627620e-02
#> [376] -5.931428e-02 -4.001192e-02 -1.731056e-01 -9.117762e-02 3.433459e-02
#> [381] NaN 3.882898e-02 1.968114e-01 2.789581e-02 -4.821851e-02
#> [386] -2.178713e-01 1.223882e-02 2.745397e-01 7.331985e-02 4.693498e-03
#> [391] -5.171490e-02 -7.467895e-02 NaN 3.815381e-02 9.257133e-02
#> [396] NaN -3.188742e-02 -7.085842e-02 -7.141525e-02 -9.518629e-03
#> [401] -5.972011e-01 -9.979797e-02 -4.626715e-02 -1.380736e-01 -8.352079e-03
#> [406] -8.454975e-02 -1.327617e-01 -2.346126e-01 -8.772777e-02 6.194049e-01
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#> [421] 1.878294e-01 1.020551e-01 1.030172e-01 5.164005e-02 NaN
#> [426] NaN NaN 8.070618e-01
#>
#> $hii
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#> [56] 0.0146404640 0.0168475924 0.0205104831 0.0369584560 0.0328598686
#> [61] 0.0136606791 0.0089644687 0.0446239135 0.0091362980 0.0100211316
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#> [76] 0.0145672064 0.0768215880 0.0336566208 0.0169279013 0.0230948769
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#> [106] 0.0071465030 0.0240371602 0.0375784916 0.0220664508 0.0400465219
#> [111] 0.0090372072 0.0274283584 0.0140575824 0.0152360305 0.0145866204
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#> [121] 0.0297674680 0.0071893980 0.0692118124 0.0344457903 0.0119557284
#> [126] NaN 0.0297496649 0.0325104771 0.0470728179 0.0248136113
#> [131] 0.0232895996 0.0152853905 0.0142724468 0.0603984796 0.0349798601
#> [136] 0.0367987589 0.0168421645 0.0137845599 0.0329204024 0.0207933864
#> [141] 0.0201167956 0.0333816996 0.0161883841 0.0074983083 0.0147349240
#> [146] 0.0139253336 0.0283474653 0.0309945680 0.0131425350 0.0247434305
#> [151] 0.0289824878 0.0290290133 NaN 0.0498726035 0.0189230818
#> [156] 0.0195203219 0.0003142307 0.0294103270 0.0518876908 0.0227035069
#> [161] 0.0212788356 0.0478079130 0.0330818310 0.0287536836 0.1294224031
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#> [171] 0.0352213036 0.0006091752 0.0770071225 0.0248790877 NaN
#> [176] 0.0122869175 0.0461272851 0.0182611634 0.0159074272 0.0474742213
#> [181] 0.0484420406 0.0620553928 0.0396049198 0.0086774214 0.0358759828
#> [186] 0.0004116588 0.0416464794 0.0245145457 0.0012978225 0.0421861565
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#> [211] 0.0175399994 0.0209887528 0.0337452950 0.0198260918 0.0218255532
#> [216] 0.0218812697 0.0659647622 0.0458404987 0.0233058564 0.0082697529
#> [221] 0.0094368953 0.0369464746 0.0001266898 0.0410082769 0.0261025591
#> [226] 0.0434580109 0.0261655174 0.0919075213 0.0160932485 0.0131407843
#> [231] 0.0267343539 0.0278922116 0.0540688522 0.0179088814 0.0788402848
#> [236] 0.0372689166 0.0240846231 0.0295211370 0.0129399178 0.0261927754
#> [241] 0.0005865639 0.0341369880 0.0315584293 0.0299919911 0.0420895813
#> [246] 0.0159355820 0.0165662481 NaN 0.0431033043 0.0159918914
#> [251] 0.0604469871 0.0141437819 0.0386227253 0.0140712616 0.0678195999
#> [256] 0.0135308690 0.0369419792 0.0088889037 0.0155442758 0.0081553663
#> [261] 0.0183343657 0.0356292553 0.0299785152 0.0197208206 0.0267427358
#> [266] 0.0211408132 0.0550264387 0.0321623992 0.0259642285 0.0258910975
#> [271] NaN 0.0195989806 0.0643247985 0.0228599445 0.0189347950
#> [276] 0.0474143707 0.0154655213 0.0175264991 0.0167239146 0.1180061038
#> [281] 0.0289736044 0.0011698026 0.0500788522 0.0482714451 0.0136291222
#> [286] 0.0146010474 0.0174728307 0.0421642758 0.0139636510 0.0114646095
#> [291] 0.0352930441 0.0336497658 0.0316709659 0.0622984726 0.0239878372
#> [296] NaN 0.0413979650 0.0429833047 0.0174050474 0.0979428055
#> [301] 0.0155427203 0.0269102990 0.0184244608 0.0219241211 0.0222663290
#> [306] 0.0161088458 0.0144264880 0.0222647672 0.0300790088 0.0131823041
#> [311] 0.0114364548 0.0324582290 0.0411029566 0.0198032696 0.0141929085
#> [316] 0.0459033484 0.0575303176 0.0133750354 0.0072426010 0.0304350979
#> [321] 0.0225978074 0.0077503579 0.0366317196 0.1995591726 0.0655237051
#> [326] 0.0497358670 0.0142294048 0.0370040837 0.0191584265 0.0313690598
#> [331] 0.0073712005 0.0136265049 0.0387577405 0.0285173271 0.0215383749
#> [336] 0.0357748389 0.0251636895 0.0392931356 0.0119915689 0.0128213903
#> [341] 0.0158351405 0.0167882301 0.0439495914 0.0334223074 0.0181911006
#> [346] 0.0186259992 NaN NaN NaN 0.0437954915
#> [351] 0.0124781801 0.0790697948 0.0333538658 0.0230251784 NaN
#> [356] 0.0288875617 0.0401798510 0.0086584679 NaN NaN
#> [361] 0.0289279766 0.0381068476 0.0321095150 0.0162512181 NaN
#> [366] 0.0565566627 NaN 0.0227769418 NaN NaN
#> [371] 0.0489129195 NaN NaN NaN 0.0086599818
#> [376] 0.0432349949 0.0304793192 0.0261961742 0.0218730335 0.0189067226
#> [381] NaN 0.0255025621 0.0238942421 0.0116500221 0.0242283211
#> [386] 0.0244335120 0.0082115620 0.0476063245 0.0171237119 0.0220507340
#> [391] 0.0259393608 0.0165184044 NaN 0.0007415179 0.0157696384
#> [396] NaN 0.0264184519 0.0352017886 0.0515994122 0.0208746835
#> [401] 0.0684168374 0.0133367020 0.0358658410 0.0449658944 0.0293119165
#> [406] 0.0337912174 0.0261536257 0.0438431499 0.0193474366 0.0191405130
#> [411] 0.0362754105 0.0615680871 0.0264760676 0.1183485266 0.0149467199
#> [416] 0.0165655550 0.0162669349 0.0190959671 0.0293422184 0.0356298366
#> [421] 0.0238965320 0.0207148021 0.0179014868 0.0157168453 NaN
#> [426] NaN NaN 0.0602254258
#>
#> $leaveOutResid
#> [1] -1.587779e+04 -8.270597e+03 -2.839938e+02 -5.637078e+03 1.078077e+01
#> [6] 4.180575e+02 4.961012e+02 -1.302379e+02 6.482532e+02 -4.383614e+02
#> [11] -1.202099e+03 7.579962e+03 -1.313299e+03 -3.746640e+03 -8.591033e+02
#> [16] 5.761694e+02 -1.284250e+03 -8.313601e+02 4.724344e+03 4.623485e+03
#> [21] 3.750492e+03 -1.579327e+02 4.934112e+03 -2.107731e+03 2.423044e+04
#> [26] 1.698446e+04 -5.298553e+03 -1.226240e+03 -2.348273e+03 5.697337e+03
#> [31] -6.820124e+02 1.855789e+03 9.567721e+03 -4.002914e+03 -1.646266e+03
#> [36] 3.034235e+03 -6.892263e+03 -9.914284e+02 9.411733e+02 2.746896e+02
#> [41] 7.189241e+04 1.463305e+03 4.950989e+03 -1.336180e+04 1.249462e+03
#> [46] -6.015988e+03 1.155262e+03 3.881033e+02 -1.737863e+03 -1.021475e+02
#> [51] -2.368728e+03 NA -4.858370e+03 -3.391264e+03 -1.560577e+03
#> [56] -5.929544e+02 -6.311830e+02 -3.906975e+02 5.367628e+01 -2.798862e+03
#> [61] -3.541047e+00 -5.519056e+02 1.259608e+03 4.022317e+03 -1.070316e+04
#> [66] 3.330926e+02 9.000553e+01 1.634749e+03 NA 4.719081e+02
#> [71] 2.483902e+03 1.067184e+03 -1.103202e+03 4.411402e+01 -1.081458e+03
#> [76] 2.561792e+03 -3.929280e+03 -2.490769e+03 1.625083e+03 -1.490240e+03
#> [81] -7.593794e+02 2.488547e+02 -3.068981e+03 -1.069035e+03 3.018769e+02
#> [86] 2.018387e+03 5.684143e+01 -1.126714e+03 -8.457149e+02 1.532003e+04
#> [91] -1.651723e+04 -2.081926e+03 -8.005165e+02 8.221896e+02 5.611274e+02
#> [96] 1.420777e+03 4.652264e+02 -2.842468e+03 -2.135529e+03 -1.122811e+03
#> [101] -4.212439e+02 -3.061082e+02 2.061834e+03 -9.475250e+03 5.396143e+03
#> [106] -8.299665e+03 -3.064346e+03 4.401605e+02 -5.601024e+02 3.408960e+02
#> [111] -1.365829e+04 -1.427017e+03 4.328163e+03 -7.374572e+03 -1.269900e+04
#> [116] -1.351228e+03 -2.892525e+02 1.134505e+03 -8.632000e+02 -5.580609e+02
#> [121] -8.415135e+02 -5.980517e+03 -3.399273e+02 -7.522353e+02 -9.115371e+03
#> [126] 3.998210e+04 3.384633e+03 -5.989894e+02 -1.037549e+03 -5.321292e+02
#> [131] 1.832768e+02 -1.341626e+03 -2.908355e+03 -8.796946e+02 -1.153024e+03
#> [136] -5.347504e+02 -1.282381e+01 1.992413e+03 -8.663907e+01 8.010527e+02
#> [141] 6.736049e+02 -2.792979e+03 -1.540199e+03 -5.005996e+03 -2.917009e+03
#> [146] -8.616389e+02 1.893954e+03 -1.471592e+03 8.576815e+03 -1.305836e+03
#> [151] -1.422567e+03 -4.994061e+01 NA 3.829621e+01 5.462158e+01
#> [156] 2.345316e+03 3.531475e+03 2.610930e+04 6.993804e+03 6.882355e+03
#> [161] 2.361981e+03 -8.385423e+02 1.317664e+03 -2.666321e+03 1.264726e+03
#> [166] 1.264029e+02 -1.548219e+02 -1.915824e+02 4.476183e+03 -5.186302e+02
#> [171] -4.233724e+03 -3.713499e+02 1.501444e+03 2.614925e+03 5.829468e+04
#> [176] 6.053449e+03 -1.019675e+03 4.043655e+03 -4.111156e+02 -6.234281e+03
#> [181] 1.219713e+03 -2.861462e+03 -5.025428e+02 6.933965e+03 5.952699e+03
#> [186] 6.360800e+02 -4.087436e+03 2.187486e+02 1.851330e+03 3.868387e+03
#> [191] -1.127070e+03 -1.823457e+02 -1.351194e-02 -2.664753e+02 -4.181400e+03
#> [196] -1.269788e+04 5.007158e+02 -1.860419e+03 4.100126e+04 -5.636755e+02
#> [201] -1.357839e+03 -5.947921e+03 -3.232892e+03 -2.340357e+03 -8.046286e+02
#> [206] -6.175157e+03 -6.815728e+02 6.519673e+02 -7.796321e+01 8.107338e+02
#> [211] -4.481245e+01 -2.745419e+02 7.329006e+02 8.268953e+02 1.056414e+02
#> [216] -1.224440e+03 -8.325013e+03 -1.787280e+03 -3.594903e+03 -7.907688e+03
#> [221] -7.339484e+03 1.127615e+03 -2.309011e+02 -1.595660e+03 -4.037853e+03
#> [226] -8.307703e+02 6.703799e+02 -4.694933e+03 3.071517e+03 1.133970e+03
#> [231] 5.240919e+02 8.235227e+03 -8.000601e+02 4.147572e+02 -9.434732e+01
#> [236] 9.431373e+03 -1.995915e+03 6.541025e+02 1.628557e+03 -3.644506e+03
#> [241] -1.069546e+03 -1.364224e+03 4.154019e+03 7.718457e+03 -9.264968e+02
#> [246] 1.084344e+02 -7.379989e+02 NA -7.541934e+02 -8.960589e+02
#> [251] -1.676535e+03 -1.225952e+03 -8.471167e+02 -5.040847e+01 -4.373227e+02
#> [256] 5.633102e+03 1.457825e+02 8.078211e+03 -5.562403e+03 -7.436489e+03
#> [261] -5.567373e+01 -3.590719e+02 -1.127174e+03 1.519568e+03 2.367228e+02
#> [266] -3.787053e+03 8.312328e+02 2.500237e+03 -4.118876e+02 -1.148454e+03
#> [271] NA 1.287699e+03 2.222617e+03 -8.549810e+02 -2.083367e+03
#> [276] -1.713679e+03 -9.767517e+02 -5.678446e+02 -4.743255e+02 -8.042399e+02
#> [281] -4.176442e+02 -3.622006e+02 -1.699951e+03 1.129680e+03 -1.144275e+03
#> [286] 1.726526e+02 -8.761823e+01 1.379255e+03 2.660058e+03 -7.076142e+02
#> [291] 4.809785e+02 -2.005974e+02 -8.224367e+02 -3.859324e+04 1.878466e+03
#> [296] NA -3.478044e+03 4.824631e+02 2.434228e+03 5.335203e+02
#> [301] -3.070307e+03 4.111594e+02 -1.143213e+03 -3.137506e+02 2.580848e+02
#> [306] 2.039034e+03 5.902982e+02 -1.389397e+03 4.284439e+03 -2.931273e+03
#> [311] 1.242425e+03 3.544248e+03 7.437333e+03 -6.550644e+02 -1.116235e+03
#> [316] 7.839328e+03 8.445001e+02 2.936006e+03 -1.115627e+04 3.102974e+03
#> [321] 2.200120e+03 9.802191e+03 -8.017873e+02 1.142493e+02 1.708507e+04
#> [326] -4.410255e+03 -4.008974e+02 -5.378488e+02 -1.579702e+03 9.703668e+02
#> [331] 1.257170e+01 -5.332356e+02 1.833034e+03 -4.108741e+02 -1.004784e+03
#> [336] -1.348674e+02 5.414636e+01 2.130897e+03 -2.048916e+03 -1.817918e+02
#> [341] -3.396537e+03 1.702739e+03 4.457934e+03 -4.839880e+02 -2.497485e+02
#> [346] 1.121735e+03 NA NA NA -1.084538e+03
#> [351] -1.694582e+02 -2.409620e+03 -4.602036e+02 2.438662e+02 NA
#> [356] -7.836693e+02 -1.541482e+03 4.467014e+03 NA NA
#> [361] -4.025498e+02 -3.457707e+03 -5.118298e+02 -6.376432e+02 NA
#> [366] 2.855206e+02 NA 4.962171e+02 NA NA
#> [371] 8.877903e+02 NA NA NA -3.149945e+02
#> [376] -2.716295e+02 -2.884096e+02 -3.891241e+03 -2.051539e+03 7.728533e+02
#> [381] NA 5.633536e+02 4.421462e+03 6.279159e+02 -3.475442e+02
#> [386] -1.297722e+04 7.307509e+02 2.379734e+03 1.063424e+03 4.076256e+01
#> [391] -3.727419e+02 -6.483028e+02 NA 2.272388e+03 2.082461e+03
#> [396] NA -2.298514e+02 -5.106969e+02 -3.270391e+02 -6.861527e+01
#> [401] -8.420773e+03 -2.244446e+03 -4.017964e+02 -1.198532e+03 -7.253686e+01
#> [406] -7.341138e+02 -1.526087e+03 -2.694971e+03 -7.615253e+02 6.952077e+03
#> [411] -3.302478e+03 9.827466e+03 -4.450347e+02 -2.587932e+03 -5.856825e+02
#> [416] -6.257803e+02 -9.950608e+01 -8.572218e+01 3.801011e+02 -2.988026e+03
#> [421] 2.156911e+03 8.857781e+02 8.940249e+02 4.483928e+02 NA
#> [426] NA NA 1.130379e+04
#>
#> $sigmaHat
#> [1] 34.3866
#>
#> $seEstimate
#> 1 2 3 4 5 6 7 8
#> 0.000 5020.149 3304.675 1807.742 3607.049 3972.133 0.000 0.000
#> 10 11 12 13
#> 0.000 0.000 0.000 1065.044
#>
#> $seRobust
#> [1] NaN 2820.1398 4487.7297 710.8126 1564.2238 2831.3537 NaN
#> [8] NaN NaN NaN NaN 2035.0264
#>
#> $iter
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [149] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0
#> [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [260] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 1 1
#> [371] 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0
#>
# Similar to above, but two y variables
LmImpute(w, "cbind(y14,y15)~x:factor(k)-1", weights = "1/x", estimationGroup = w$k)
#> $category123
#> [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1
#> [38] 2 1 1 2 1 2 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 3 1 1 1 1 1
#> [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 1
#> [149] 1 1 1 1 3 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [186] 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 2 1 1 1 1 1 1 1 2 1 2 1 1
#> [223] 2 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [260] 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 3
#> [297] 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [334] 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1 1 1 1 1 3 1 1 1 3 3 1 1 1 1 3 1 3 1 3 3
#> [371] 1 3 3 3 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 3 2 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [408] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1
#>
#> $N
#> [1] 428
#>
#> $yImputed
#> y14 y15
#> 1 2068655.00 1603557.00
#> 2 2221950.00 1757401.00
#> 3 3638621.00 2989695.00
#> 4 5498338.00 4588330.00
#> 5 404824.00 325862.00
#> 6 136398.00 107929.00
#> 7 265635.00 220755.00
#> 8 68216.00 51598.00
#> 9 386645.00 326178.00
#> 10 444748.00 309312.00
#> 11 1083661.00 879127.00
#> 12 804132.00 652613.00
#> 13 282168.00 231644.00
#> 14 602562.00 503989.00
#> 15 481639.00 391454.00
#> 16 955558.00 780342.00
#> 17 342559.00 274506.00
#> 18 348016.00 249400.00
#> 19 1012919.00 825717.00
#> 20 2080786.00 1798953.00
#> 21 1226511.00 981152.00
#> 22 993550.00 821237.00
#> 23 1138447.00 928417.00
#> 24 1772970.00 1558258.00
#> 25 8630178.00 7118172.00
#> 26 4118307.00 3251016.00
#> 27 986318.00 789438.00
#> 28 1141770.00 936368.00
#> 29 696654.00 557519.00
#> 30 1061989.00 860832.00
#> 31 659814.00 511959.00
#> 32 2234327.00 1834316.00
#> 33 3397169.00 2827716.00
#> 34 1429728.00 1063174.00
#> 35 418306.00 317937.00
#> 36 2079561.00 1534421.00
#> 37 1304516.00 991322.00
#> 38 1387044.00 1061262.00
#> 39 738362.00 594220.00
#> 40 212974.00 164965.00
#> 41 51155160.00 36684868.00
#> 42 1219040.00 982005.00
#> 43 2619770.00 2197896.00
#> 44 2385079.00 1963501.00
#> 45 520847.00 412090.00
#> 46 1581731.00 1259715.00
#> 47 375151.00 322985.00
#> 48 545893.00 454261.00
#> 49 492486.00 426951.00
#> 50 404518.00 339470.00
#> 51 626854.00 526512.00
#> 52 322521.70 267141.47
#> 53 1485047.00 1246007.00
#> 54 626053.00 545285.00
#> 55 389041.00 336087.00
#> 56 237340.00 197008.00
#> 57 177178.00 150103.00
#> 58 172206.00 150373.00
#> 59 144845.00 118381.00
#> 60 534984.00 459302.00
#> 61 211050.00 176710.00
#> 62 146831.00 125545.00
#> 63 189132.00 159750.00
#> 64 2133568.00 1788573.00
#> 65 2150811.00 1788646.00
#> 66 246543.00 215368.00
#> 67 208151.00 176409.00
#> 68 226385.00 190863.00
#> 69 226926.45 190906.35
#> 70 322598.00 268923.00
#> 71 542505.00 430235.00
#> 72 533031.00 465975.00
#> 73 302708.00 249572.00
#> 74 396154.00 340811.00
#> 75 444345.00 351764.00
#> 76 505697.00 409372.00
#> 77 1062113.00 866117.00
#> 78 863742.00 716883.00
#> 79 433907.00 363604.00
#> 80 608445.00 504308.00
#> 81 1018077.00 823824.00
#> 82 509955.00 448064.00
#> 83 586296.00 518514.00
#> 84 289484.00 241485.00
#> 85 148672.00 128025.00
#> 86 608999.00 516161.00
#> 87 217784.00 173199.00
#> 88 271126.00 217543.00
#> 89 206291.00 178485.00
#> 90 4737503.00 4113640.00
#> 91 1931771.00 1586162.00
#> 92 1945634.00 1593669.00
#> 93 468506.00 411946.00
#> 94 115876.00 88445.00
#> 95 310659.00 253292.00
#> 96 473861.00 371380.00
#> 97 226661.00 182842.00
#> 98 538225.00 462298.00
#> 99 506926.00 416611.00
#> 100 286956.00 212336.00
#> 101 178555.00 150575.00
#> 102 975497.00 796001.00
#> 103 1164458.00 940107.00
#> 104 1539181.00 1129005.00
#> 105 1682605.00 1231373.00
#> 106 1375616.00 989410.00
#> 107 638773.00 489395.00
#> 108 234420.00 178532.00
#> 109 206311.00 162420.00
#> 110 330912.00 269294.00
#> 111 1794598.00 1535260.00
#> 112 693111.00 544222.00
#> 113 2876139.00 2337722.00
#> 114 2971877.00 2340837.00
#> 115 3029771.00 2497883.00
#> 116 425684.00 341545.00
#> 117 641437.00 495711.00
#> 118 242943.00 179828.00
#> 119 663452.00 545004.00
#> 120 419898.00 346913.00
#> 121 771160.00 634406.00
#> 122 1474127.00 1194365.00
#> 123 342426.00 257089.00
#> 124 188822.00 137554.00
#> 125 2665103.00 2153059.00
#> 126 3833444.00 3102006.00
#> 127 1010302.00 841623.00
#> 128 169624.00 144323.00
#> 129 1096136.00 911434.00
#> 130 844770.00 723504.00
#> 131 353047.00 308896.00
#> 132 623446.00 522710.00
#> 133 500643.00 395547.00
#> 134 353879.00 269543.00
#> 135 683050.00 574351.00
#> 136 178052.00 143607.00
#> 137 262036.00 226387.00
#> 138 240139.00 199451.00
#> 139 160591.00 143092.00
#> 140 162415.00 133692.00
#> 141 277424.00 236882.00
#> 142 474002.00 393250.00
#> 143 561815.00 461095.00
#> 144 1629173.00 1203566.00
#> 145 3138779.00 2404363.00
#> 146 215379.00 180112.00
#> 147 200542.00 155217.00
#> 148 456934.00 388495.00
#> 149 412507.00 319060.00
#> 150 785288.00 643722.00
#> 151 384364.00 294771.00
#> 152 184813.00 143280.00
#> 153 138871.71 115409.11
#> 154 281441.00 229575.00
#> 155 145198.00 123816.00
#> 156 192361.00 154380.00
#> 157 241694.00 207413.00
#> 158 6240024.00 5177548.00
#> 159 1117354.00 929039.00
#> 160 772392.00 626282.00
#> 161 741162.00 633135.00
#> 162 978611.00 805506.00
#> 163 488162.00 420537.00
#> 164 701534.00 561220.00
#> 165 225631.00 195146.00
#> 166 153400.00 128460.00
#> 167 176361.00 150798.00
#> 168 376684.00 294163.00
#> 169 642780.00 494013.00
#> 170 166714.00 139619.00
#> 171 566272.00 481753.00
#> 172 331878.00 282619.00
#> 173 1144205.00 970826.00
#> 174 4822708.00 3866201.00
#> 175 9560229.00 7361194.00
#> 176 2492314.00 1935106.00
#> 177 272051.00 206942.00
#> 178 252321.00 193034.00
#> 179 213290.00 175745.00
#> 180 1251989.00 1114782.00
#> 181 1234732.00 1028299.00
#> 182 1251738.00 1030210.00
#> 183 785938.00 643281.00
#> 184 1743424.00 1394840.00
#> 185 796904.00 663981.00
#> 186 192862.00 162707.00
#> 187 867663.00 695173.00
#> 188 316549.00 264643.00
#> 189 505059.00 454435.00
#> 190 470284.00 410634.00
#> 191 272138.00 236438.00
#> 192 356284.00 301869.00
#> 193 58691.00 49071.00
#> 194 90051.00 78121.00
#> 195 908554.00 793232.00
#> 196 2662110.00 2120131.00
#> 197 39853.00 30670.00
#> 198 670485.00 571142.00
#> 199 18957333.00 14053713.00
#> 200 320496.00 272203.00
#> 201 419235.00 340304.00
#> 202 835522.00 645062.00
#> 203 1246868.00 1023506.00
#> 204 249037.00 197299.00
#> 205 229138.00 203662.00
#> 206 1066333.00 932840.00
#> 207 123138.00 102311.00
#> 208 796354.00 673556.00
#> 209 356495.00 290532.00
#> 210 174766.00 147907.00
#> 211 136718.00 107979.00
#> 212 92867.00 79357.00
#> 213 1143046.00 954239.00
#> 214 728064.00 630600.00
#> 215 326584.00 280568.00
#> 216 202490.00 165508.00
#> 217 1218728.00 906778.00
#> 218 368551.00 213784.00
#> 219 456878.00 391211.00
#> 220 1433319.00 1143343.00
#> 221 1784661.00 1345156.00
#> 222 388184.00 332522.00
#> 223 87415.00 76308.00
#> 224 575420.00 488743.00
#> 225 504333.00 360584.00
#> 226 484305.00 403089.00
#> 227 388905.00 339928.00
#> 228 1209534.00 981726.00
#> 229 254223.00 229988.00
#> 230 71294.00 62879.00
#> 231 209141.00 179832.00
#> 232 1047946.00 903950.00
#> 233 231974.00 198454.00
#> 234 92841.00 71856.00
#> 235 148674.00 125087.00
#> 236 447179.00 368904.00
#> 237 280288.00 232924.00
#> 238 174909.00 142402.00
#> 239 199359.00 169277.00
#> 240 593897.00 490917.00
#> 241 283591.00 211220.00
#> 242 265079.00 221526.00
#> 243 507369.00 430885.00
#> 244 495368.00 426048.00
#> 245 252200.00 216498.00
#> 246 258504.00 212274.00
#> 247 255031.00 185190.00
#> 248 259046.69 214565.75
#> 249 1009358.00 856246.00
#> 250 231725.00 186434.00
#> 251 415562.00 339105.00
#> 252 462746.00 393792.00
#> 253 228300.00 191170.00
#> 254 471949.00 384690.00
#> 255 102123.00 87190.00
#> 256 522571.00 440339.00
#> 257 556350.00 484158.00
#> 258 2002243.00 1698760.00
#> 259 3230521.00 2606987.00
#> 260 1822294.00 1568922.00
#> 261 268850.00 234707.00
#> 262 230304.00 204852.00
#> 263 649485.00 493750.00
#> 264 576921.00 440187.00
#> 265 348830.00 278662.00
#> 266 750566.00 619273.00
#> 267 758677.00 632829.00
#> 268 209050.00 175998.00
#> 269 191209.00 167025.00
#> 270 352067.00 306716.00
#> 271 107554.40 89382.91
#> 272 479671.00 405318.00
#> 273 327298.00 271467.00
#> 274 590341.00 482182.00
#> 275 540821.00 421231.00
#> 276 616982.00 516390.00
#> 277 591257.00 526692.00
#> 278 580721.00 495678.00
#> 279 273006.00 230262.00
#> 280 179681.00 151853.00
#> 281 123712.00 110486.00
#> 282 393120.00 319073.00
#> 283 707430.00 564109.00
#> 284 275115.00 232155.00
#> 285 391361.00 297716.00
#> 286 205043.00 164979.00
#> 287 266829.00 219880.00
#> 288 760288.00 654097.00
#> 289 514187.00 445406.00
#> 290 199722.00 176083.00
#> 291 142748.00 119657.00
#> 292 215495.00 175521.00
#> 293 336515.00 282747.00
#> 294 12697437.00 10441854.00
#> 295 350809.00 288994.00
#> 296 103125.69 85702.43
#> 297 399547.00 344868.00
#> 298 423228.00 363009.00
#> 299 394661.00 323803.00
#> 300 160464.00 144058.00
#> 301 531517.00 464765.00
#> 302 394544.00 322007.00
#> 303 282552.00 241448.00
#> 304 101872.00 79501.00
#> 305 103483.00 86892.00
#> 306 547534.00 439279.00
#> 307 248919.00 223163.00
#> 308 338279.00 287870.00
#> 309 914028.00 809479.00
#> 310 444140.00 362584.00
#> 311 178891.00 152196.00
#> 312 507697.00 435710.00
#> 313 1112575.00 952381.00
#> 314 507156.00 449285.00
#> 315 437742.00 346834.00
#> 316 891663.00 729859.00
#> 317 348743.00 291975.00
#> 318 138585.00 113275.00
#> 319 1572639.00 1211794.00
#> 320 1019164.00 782263.00
#> 321 248397.00 211120.00
#> 322 1634082.00 1361358.00
#> 323 203610.00 165455.00
#> 324 312636.00 263390.00
#> 325 1441302.00 1129390.00
#> 326 1107923.00 894927.00
#> 327 238335.00 207729.00
#> 328 154784.00 129259.00
#> 329 198715.00 168175.00
#> 330 172022.00 149328.00
#> 331 78357.00 63712.00
#> 332 118708.00 95497.00
#> 333 304464.00 247986.00
#> 334 130559.00 112270.00
#> 335 291868.00 232540.00
#> 336 72205.00 56350.00
#> 337 106934.00 85884.00
#> 338 375721.00 287826.00
#> 339 453733.00 372421.00
#> 340 66729.00 52958.00
#> 341 509727.00 416321.00
#> 342 3479426.00 2759349.00
#> 343 1474495.00 1227708.00
#> 344 167489.00 141051.00
#> 345 198806.00 171492.00
#> 346 665564.00 572859.00
#> 347 151728.33 127238.52
#> 348 49993.20 42229.63
#> 349 149509.40 123837.12
#> 350 657255.00 523988.00
#> 351 233389.00 192228.00
#> 352 1079501.00 928455.00
#> 353 147104.00 123807.00
#> 354 195732.00 155422.00
#> 355 147834.57 122857.68
#> 356 256955.00 219944.00
#> 357 459496.00 396120.00
#> 358 1971157.00 1651527.00
#> 359 189619.17 160172.73
#> 360 50402.94 41887.28
#> 361 161206.00 141325.00
#> 362 653361.00 570269.00
#> 363 238278.00 191287.00
#> 364 130503.00 114920.00
#> 365 403152.13 333926.84
#> 366 786259.00 653598.00
#> 367 239423.40 200779.12
#> 368 255227.00 226685.00
#> 369 222469.83 186561.95
#> 370 240765.05 201904.22
#> 371 220882.00 189293.00
#> 372 135286.56 112429.68
#> 373 170755.35 143194.48
#> 374 219246.14 181599.36
#> 375 68701.00 52840.00
#> 376 83627.00 72908.00
#> 377 122539.00 102570.00
#> 378 847326.00 672349.00
#> 379 723112.00 611492.00
#> 380 638345.00 514705.00
#> 381 277532.52 230642.95
#> 382 334402.00 275157.00
#> 383 889007.00 712713.00
#> 384 401878.00 332038.00
#> 385 106696.00 72975.00
#> 386 5120192.00 4070902.00
#> 387 1828418.00 1540548.00
#> 388 387318.00 331240.00
#> 389 267501.00 214703.00
#> 390 165921.00 141376.00
#> 391 125224.00 94976.00
#> 392 116961.00 97769.00
#> 393 388588.58 326907.80
#> 394 286788.00 224911.00
#> 395 562151.00 457542.00
#> 396 296102.37 245258.60
#> 397 129169.00 108260.00
#> 398 173768.00 139891.00
#> 399 116571.00 95670.00
#> 400 111377.00 90415.00
#> 401 1077787.00 887578.00
#> 402 465570.00 414348.00
#> 403 225892.00 195639.00
#> 404 289205.00 255941.00
#> 405 196127.00 164565.00
#> 406 234751.00 205050.00
#> 407 268239.00 229476.00
#> 408 442345.00 366721.00
#> 409 164658.00 145458.00
#> 410 183638.00 154633.00
#> 411 587385.00 517883.00
#> 412 1071833.00 908848.00
#> 413 283019.00 241340.00
#> 414 1707927.00 1358069.00
#> 415 131682.00 117431.00
#> 416 123753.00 108829.00
#> 417 131744.00 113931.00
#> 418 157839.00 140125.00
#> 419 290475.00 255624.00
#> 420 342277.00 279126.00
#> 421 264881.00 224952.00
#> 422 181803.00 153870.00
#> 423 143441.00 114732.00
#> 424 120044.00 101417.00
#> 425 356390.82 298867.34
#> 426 65913.13 53366.03
#> 427 213776.90 179844.03
#> 428 914118.00 775238.00
#>
#> $nImputed
#> [1] 25
#>
#> $estimate
#> y14 y15
#> 1 5573086 4495784
#> 2 16882724 13983790
#> 3 11611649 9666748
#> 4 1984345 1676191
#> 5 5582600 4639411
#> 6 9141876 7666326
#> 7 25280849 20670444
#> 8 20837649 16918914
#> 10 14324228 11858508
#> 11 34290912 28377888
#> 12 15539704 13029111
#> 13 226730007 177517274
#>
#> $cv
#> y14 y15
#> 1 0.000000000 0.00000000
#> 2 0.530950041 0.67769640
#> 3 0.508176432 0.64534492
#> 4 1.626667580 2.03589961
#> 5 1.153705907 1.46768443
#> 6 0.775832782 0.97809280
#> 7 0.000000000 0.00000000
#> 8 0.000000000 0.00000000
#> 10 0.000000000 0.00000000
#> 11 0.000000000 0.00000000
#> 12 0.000000000 0.00000000
#> 13 0.008387888 0.01132622
#>
#> $estimateOrig
#> y14 y15
#> 1 5573086 4495784
#> 2 15233146 12617461
#> 3 10782357 8969090
#> 4 1744733 1473789
#> 5 4621992 3841099
#> 6 7760343 6507780
#> 7 25280849 20670444
#> 8 20837649 16918914
#> 10 14324228 11858508
#> 11 34290912 28377888
#> 12 15539704 13029111
#> 13 226664094 177463908
#>
#> $coef
#> y14 y15
#> x:factor(k)1 77.59473 62.59532
#> x:factor(k)2 85.77705 71.04826
#> x:factor(k)3 96.57456 80.33364
#> x:factor(k)4 98.60591 83.29315
#> x:factor(k)5 105.44549 87.63030
#> x:factor(k)6 121.96811 102.28177
#> x:factor(k)7 64.55751 52.78432
#> x:factor(k)8 69.62570 56.53187
#> x:factor(k)10 73.82329 61.11562
#> x:factor(k)11 80.21885 66.38615
#> x:factor(k)12 91.51122 76.72668
#> x:factor(k)13 68.52749 54.89644
#>
#> $nModel
#> [1] 393
#>
#> $rStud
#> y14 y15
#> [1,] -0.228961422 -0.648727402
#> [2,] 0.151478230 -0.080073578
#> [3,] -0.762488439 -0.079386428
#> [4,] 0.511488164 1.413116259
#> [5,] -0.762603783 -0.854870019
#> [6,] -0.514077337 -0.630666536
#> [7,] -0.402369423 -0.137003964
#> [8,] 0.124927019 -0.264750946
#> [9,] -0.175850746 -0.007742426
#> [10,] -0.332748533 -1.465981168
#> [11,] -0.047386770 -0.045755750
#> [12,] -0.583817318 -0.651899987
#> [13,] -1.044470023 -0.870691205
#> [14,] -0.839586899 -0.564740317
#> [15,] 0.128063747 0.056492480
#> [16,] -0.565835991 -0.449579026
#> [17,] -1.406989318 -1.113307197
#> [18,] -1.609830299 -1.916799134
#> [19,] -0.865236726 -0.699079422
#> [20,] 0.066562846 1.228010365
#> [21,] 0.005261141 -0.244109924
#> [22,] -1.326486595 -0.833788220
#> [23,] -0.779892424 -0.630892472
#> [24,] -0.629941879 0.827377537
#> [25,] 1.175096571 1.819773710
#> [26,] -0.004073480 -0.308699342
#> [27,] -0.540581950 -0.630012660
#> [28,] 0.197735041 0.186529231
#> [29,] -0.582576033 -0.627645483
#> [30,] -0.794655989 -0.703760875
#> [31,] -0.663734853 -0.926015796
#> [32,] -2.230158660 -1.320874326
#> [33,] -1.453244814 -0.377011470
#> [34,] -1.480700623 -1.968670507
#> [35,] 0.208478668 -0.308590285
#> [36,] -2.349313547 -2.900576836
#> [37,] -0.431215864 -1.161195464
#> [38,] -2.614557981 -2.483166948
#> [39,] -0.799923247 -0.752607577
#> [40,] -0.936162522 -1.067289281
#> [41,] 10.777826939 0.914534838
#> [42,] -0.285558552 -0.311771075
#> [43,] 5.183851975 4.803540388
#> [44,] 0.739937030 1.008208847
#> [45,] 0.584503737 0.206234764
#> [46,] 1.170706261 0.345246351
#> [47,] -0.083683923 0.204645399
#> [48,] 0.662631289 0.651040487
#> [49,] -0.004561219 0.379867855
#> [50,] -0.096472607 0.024114321
#> [51,] 0.546411314 0.567109566
#> [52,] NA NA
#> [53,] 0.494791152 0.976444868
#> [54,] 2.094381461 2.165080282
#> [55,] 0.226101612 0.501504023
#> [56,] 0.460289072 0.373404562
#> [57,] -0.169406285 -0.035939661
#> [58,] 0.593409746 0.727544141
#> [59,] -1.071319826 -0.919484961
#> [60,] 0.539371854 0.653093222
#> [61,] 0.098253368 0.136719299
#> [62,] 0.420806587 0.481836408
#> [63,] -0.644486675 -0.414887911
#> [64,] 2.493917903 2.639365503
#> [65,] 0.807584420 1.199125174
#> [66,] 0.468756144 0.700476392
#> [67,] -0.313883732 -0.127627143
#> [68,] 0.473761506 0.457151214
#> [69,] NA NA
#> [70,] 0.225676684 0.220943667
#> [71,] 0.374370953 -0.211807942
#> [72,] 1.212780925 1.451421737
#> [73,] 0.941108109 0.704918104
#> [74,] 0.330927757 0.555257775
#> [75,] 0.861843252 0.327187108
#> [76,] 0.128203026 -0.078846818
#> [77,] -0.531205323 -0.588776826
#> [78,] 0.185554734 0.288844294
#> [79,] 0.119992611 0.261057915
#> [80,] 0.425560535 0.440842388
#> [81,] 0.101886906 -0.179390389
#> [82,] 1.855377801 1.989518881
#> [83,] 0.893656966 1.330724446
#> [84,] 0.807048167 0.680107196
#> [85,] -0.563172341 -0.303285826
#> [86,] 1.863262060 1.693135216
#> [87,] 1.120225506 0.637538095
#> [88,] -0.146841241 -0.307375224
#> [89,] 0.510839878 0.619916999
#> [90,] 0.537090585 2.329939658
#> [91,] 0.803059156 0.972934589
#> [92,] -0.916233299 -0.379327528
#> [93,] -0.053022218 0.556304788
#> [94,] 0.132040081 -0.269526563
#> [95,] 0.481098134 0.269975335
#> [96,] 1.987257029 1.064082141
#> [97,] 0.629578678 0.338840024
#> [98,] 2.026976404 1.929757652
#> [99,] 1.805923246 1.299114427
#> [100,] -0.396308604 -0.976279737
#> [101,] 0.070245016 0.267850379
#> [102,] -0.615611186 -0.639519124
#> [103,] -0.133473546 -0.243272153
#> [104,] -1.415633067 -2.110963324
#> [105,] -0.823031737 -1.753687148
#> [106,] -1.084518427 -2.017788120
#> [107,] 0.527842296 -0.119807115
#> [108,] 0.798248982 0.289436328
#> [109,] 1.544147403 0.781886730
#> [110,] 0.662653886 0.270044615
#> [111,] -0.673429133 0.406252337
#> [112,] -0.004793062 -0.342265300
#> [113,] -0.166993645 0.127695619
#> [114,] -1.291693443 -1.268692706
#> [115,] 0.185509106 0.665467425
#> [116,] -0.013197177 -0.134471850
#> [117,] -0.776826000 -1.187449325
#> [118,] -0.828631930 -1.241802466
#> [119,] 0.199609895 0.255436357
#> [120,] -0.394381011 -0.323108384
#> [121,] 0.284704992 0.276327799
#> [122,] -0.083391926 0.078280773
#> [123,] -1.036783873 -1.225408911
#> [124,] -0.104742737 -0.544999026
#> [125,] 1.745387059 1.469196228
#> [126,] 0.965770149 0.940157761
#> [127,] -0.144106505 -0.036144879
#> [128,] -0.395666592 -0.059464922
#> [129,] 1.623471315 1.531884625
#> [130,] -0.097738114 0.292684200
#> [131,] -0.044192494 0.364131430
#> [132,] 2.024308666 1.712507932
#> [133,] 0.235508887 -0.187980285
#> [134,] 0.440173950 -0.048088033
#> [135,] 3.032370411 2.428533988
#> [136,] 0.328866327 0.088186859
#> [137,] 0.164280816 0.393918536
#> [138,] 0.999595271 0.799896119
#> [139,] 0.367251696 0.685792556
#> [140,] 0.047503526 -0.069536392
#> [141,] 2.110474524 1.859757973
#> [142,] 3.130757652 2.424039688
#> [143,] 0.132090490 0.031751491
#> [144,] 0.913662114 -0.353573247
#> [145,] 0.796828242 -0.208434572
#> [146,] 0.107126936 0.137386539
#> [147,] 1.561340259 0.961837703
#> [148,] 0.276178037 0.422228826
#> [149,] -0.834404930 -1.115465421
#> [150,] -1.013286138 -0.886229990
#> [151,] -1.317429014 -1.548124091
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#>
#> $dffits
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#> [125,] 0.2111710635 0.1777552597
#> [126,] 0.1436605272 0.1398506256
#> [127,] -0.0252338040 -0.0063291576
#> [128,] -0.0725300403 -0.0109005745
#> [129,] 0.3608276919 0.3404719185
#> [130,] -0.0155906825 0.0466874818
#> [131,] -0.0068241193 0.0562284707
#> [132,] 0.2522085540 0.2133613102
#> [133,] 0.0283385790 -0.0226195037
#> [134,] 0.1116003314 -0.0121920901
#> [135,] 0.5773286311 0.4623650850
#> [136,] 0.0642802382 0.0172370103
#> [137,] 0.0215017685 0.0515577253
#> [138,] 0.1181774860 0.0945679869
#> [139,] 0.0677587316 0.1265302086
#> [140,] 0.0069223139 -0.0101329896
#> [141,] 0.3023934356 0.2664702163
#> [142,] 0.5818032817 0.4504705897
#> [143,] 0.0169440540 0.0040729577
#> [144,] 0.0873051861 -0.0337857700
#> [145,] 0.1072095465 -0.0280439054
#> [146,] 0.0127305330 0.0163264622
#> [147,] 0.2666853631 0.1642870833
#> [148,] 0.0493933892 0.0755140160
#> [149,] -0.0962917805 -0.1287266500
#> [150,] -0.1613996597 -0.1411617246
#> [151,] -0.2276048557 -0.2674607563
#> [152,] -0.2695689671 -0.2877014610
#> [153,] NaN NaN
#> [154,] 0.0223362203 0.0323773647
#> [155,] -0.0108555004 0.0041575609
#> [156,] 0.2701243686 0.1704383654
#> [157,] NaN NaN
#> [158,] 0.1914327385 0.3267153294
#> [159,] 0.1133552151 0.1518207662
#> [160,] -0.0156094672 -0.0433342178
#> [161,] 0.0292107478 0.0704345079
#> [162,] -0.0549393116 -0.0098999607
#> [163,] 0.0545787104 0.1020334459
#> [164,] -0.0679438009 -0.0838919857
#> [165,] -0.0024795748 0.0585199913
#> [166,] 0.2534421512 0.1994863795
#> [167,] 0.0515761007 0.0646297490
#> [168,] -0.1881425100 -0.2146132995
#> [169,] -0.0986455465 -0.1685375507
#> [170,] -0.1031249027 -0.0728554311
#> [171,] 0.0775175185 0.0884519027
#> [172,] NaN NaN
#> [173,] 0.1646439923 0.2182641582
#> [174,] -0.3249082261 -0.2428941507
#> [175,] 0.5151474958 0.0818557102
#> [176,] -0.0416773080 -0.0924344876
#> [177,] 0.0953340463 -0.0026258514
#> [178,] -0.1017185406 -0.1391787364
#> [179,] -0.1139786554 -0.0926850795
#> [180,] 0.1414241169 0.3455747629
#> [181,] 0.0275234681 0.0697177995
#> [182,] -0.1311211921 -0.0590708198
#> [183,] -0.1218317163 -0.0784666515
#> [184,] -0.0467313521 -0.0371726532
#> [185,] 0.1522579871 0.1664221861
#> [186,] NaN NaN
#> [187,] -0.0004706925 -0.0277027420
#> [188,] 0.2615397479 0.2118134944
#> [189,] NaN NaN
#> [190,] 0.0783711144 0.1552034076
#> [191,] -0.0163133620 0.0282287372
#> [192,] -0.2397227619 -0.1621270844
#> [193,] 0.0885074661 0.0646768065
#> [194,] -0.0091882182 0.0173978828
#> [195,] -0.3858460903 -0.1796968752
#> [196,] -0.2409177662 -0.1946489385
#> [197,] 0.2507773505 0.1644175443
#> [198,] -0.0876163204 -0.0294552262
#> [199,] -0.0597980502 -1.3105113202
#> [200,] 0.0121795100 0.0924850984
#> [201,] -0.0742236775 -0.0739391681
#> [202,] -0.2806264523 -0.3328097899
#> [203,] -0.1915935277 -0.1136873925
#> [204,] -0.2724214170 -0.2611316738
#> [205,] -0.0422809368 0.0183240541
#> [206,] 0.0044895267 0.1259508441
#> [207,] -0.0755937675 -0.0658655084
#> [208,] 0.6767655270 0.5573649276
#> [209,] 0.2559846858 0.1824054109
#> [210,] NaN NaN
#> [211,] 0.0039484666 -0.0382928344
#> [212,] -0.0328775906 -0.0094792045
#> [213,] -0.0363324879 -0.0082342831
#> [214,] 0.1224784427 0.1634783972
#> [215,] -0.0232329685 0.0193519094
#> [216,] -0.1667016941 -0.1449169589
#> [217,] -0.4982965354 -0.6348130493
#> [218,] -0.6487226318 -0.9769746138
#> [219,] -0.0875898610 -0.0089225928
#> [220,] -0.2849599391 -0.2198372700
#> [221,] -0.1674376835 -0.2108404782
#> [222,] -0.0514909808 0.0054778320
#> [223,] NaN NaN
#> [224,] -0.0461767676 0.0089084875
#> [225,] -0.1209282051 -0.2346550539
#> [226,] 0.0800401842 0.0640771200
#> [227,] 0.0534865533 0.1063775422
#> [228,] -0.9618794657 -0.8962229677
#> [229,] 0.0355921321 0.1000120339
#> [230,] 0.0831683964 0.0924415313
#> [231,] 0.0110859687 0.0366677457
#> [232,] 0.2347440479 0.2730771031
#> [233,] -0.1473469955 -0.0717101903
#> [234,] 0.0796666420 0.0229436828
#> [235,] 0.1476434403 0.1116819393
#> [236,] 0.2296223304 0.1658043717
#> [237,] 0.1028048274 0.0797937766
#> [238,] 0.3091719491 0.2201110359
#> [239,] 0.0087721638 0.0222229592
#> [240,] 0.1470151287 0.1380659265
#> [241,] NaN NaN
#> [242,] 0.0010966548 -0.0039784147
#> [243,] 0.0691387487 0.0759896834
#> [244,] 0.1193029863 0.1358922359
#> [245,] 0.1117497811 0.1635723750
#> [246,] 0.0618129751 0.0415843926
#> [247,] 0.0104983572 -0.0885329098
#> [248,] NaN NaN
#> [249,] 0.3466787387 0.3747297978
#> [250,] -0.0466135130 -0.0569396561
#> [251,] -0.3683831121 -0.3532064921
#> [252,] -0.0561812560 -0.0180899377
#> [253,] 0.0824168892 0.1047183909
#> [254,] -0.0266661361 -0.0349040455
#> [255,] -0.2127293650 -0.1584134070
#> [256,] 0.1480555367 0.1346786744
#> [257,] 0.1042689642 0.1672807317
#> [258,] 0.1781148238 0.2292749901
#> [259,] 0.0284212798 0.0404697292
#> [260,] 0.1477553390 0.2204282234
#> [261,] -0.0410527835 0.0125474413
#> [262,] 0.2000309843 0.2665868509
#> [263,] 0.0760421881 -0.0390079102
#> [264,] -0.2531195073 -0.2882858126
#> [265,] -0.1300070206 -0.1381702176
#> [266,] 0.0651508326 0.0465017791
#> [267,] -0.1154406274 -0.0728300532
#> [268,] 0.1871691203 0.1865211882
#> [269,] -0.0680861396 -0.0121762223
#> [270,] -0.1679801756 -0.0748420923
#> [271,] NaN NaN
#> [272,] -0.0419138789 0.0004974443
#> [273,] -0.2024670608 -0.1087639784
#> [274,] 0.0330450361 0.0242976836
#> [275,] -0.2764866721 -0.2799511005
#> [276,] -0.2414471802 -0.1683226014
#> [277,] 0.1542675899 0.2106601790
#> [278,] -0.0513584203 -0.0040406161
#> [279,] 0.0716584615 0.0714963818
#> [280,] -0.3638168195 -0.2895625187
#> [281,] -0.0816614556 -0.0060881093
#> [282,] 0.1605916396 0.1246813361
#> [283,] -0.0385268112 -0.1094229246
#> [284,] 0.0388634353 0.0913241825
#> [285,] -0.1923415416 -0.2133595592
#> [286,] -0.0680910222 -0.0713481921
#> [287,] 0.0026037665 -0.0021653715
#> [288,] 0.4354130693 0.4102827173
#> [289,] 0.0892808307 0.1174372572
#> [290,] 0.0980298510 0.1162483823
#> [291,] -0.1642509905 -0.1212328846
#> [292,] -0.3056113535 -0.2751159332
#> [293,] -0.0249983787 -0.0062420718
#> [294,] -0.1575853102 0.1653471092
#> [295,] -0.0577514479 -0.0511460737
#> [296,] NaN NaN
#> [297,] -0.2381679455 -0.1270311821
#> [298,] -0.2048967476 -0.1083471528
#> [299,] 0.0968360581 0.0839846277
#> [300,] -0.1412823942 -0.0037058816
#> [301,] -0.0036820362 0.0566538087
#> [302,] -0.0610322127 -0.0657917514
#> [303,] 0.0074297753 0.0333949859
#> [304,] 0.0042804172 -0.0354025770
#> [305,] 0.0045148696 0.0102578265
#> [306,] -0.0122709739 -0.0427116820
#> [307,] 0.1143227378 0.1527014195
#> [308,] -0.0034874797 0.0259337781
#> [309,] 0.4146219109 0.4804967927
#> [310,] -0.0198995859 -0.0274291326
#> [311,] 0.0182644329 0.0291665957
#> [312,] 0.1633512936 0.1836361288
#> [313,] 0.1993565869 0.2640422022
#> [314,] 0.0172696293 0.1002493566
#> [315,] -0.1236912268 -0.1337250543
#> [316,] -0.2023283695 -0.1379468675
#> [317,] 0.1812209864 0.2032046181
#> [318,] 0.2285270400 0.1625886274
#> [319,] 0.0832808836 0.0158238882
#> [320,] -0.0628309331 -0.1979319196
#> [321,] 0.0236045877 0.0397546885
#> [322,] 0.0383261013 0.0805748134
#> [323,] -0.0034128294 0.0045687651
#> [324,] -0.5437890184 -0.4443252271
#> [325,] 0.2418862434 0.0626016032
#> [326,] 0.2241302093 0.1582832536
#> [327,] 0.0845351032 0.1045054964
#> [328,] -0.1311615492 -0.0982973239
#> [329,] -0.0390024928 -0.0171752060
#> [330,] 0.2172453088 0.2191915889
#> [331,] 0.1378814958 0.0968878606
#> [332,] 0.0847928519 0.0421709436
#> [333,] 0.0247582908 -0.0269097409
#> [334,] -0.0099791124 0.0206666262
#> [335,] -0.1430860080 -0.1465221943
#> [336,] 0.1241870637 0.0434905124
#> [337,] -0.0747138732 -0.0812298537
#> [338,] -0.2434298017 -0.3105563705
#> [339,] 0.1072251064 0.0765617296
#> [340,] 0.0587973254 0.0276172807
#> [341,] -0.0841594952 -0.0790549943
#> [342,] 0.0206225935 -0.0121976488
#> [343,] -0.0847858065 -0.0479704087
#> [344,] 0.1046228993 0.0963781841
#> [345,] 0.0132036578 0.0390899121
#> [346,] 0.0681152869 0.1062871252
#> [347,] NaN NaN
#> [348,] NaN NaN
#> [349,] NaN NaN
#> [350,] -0.0962625664 -0.1822323003
#> [351,] 0.1697707323 0.1288197579
#> [352,] -0.6436011214 -0.4135931298
#> [353,] -0.0567262826 -0.0327546108
#> [354,] 0.1126052901 0.0348335437
#> [355,] NaN NaN
#> [356,] 0.2181036346 0.2010282169
#> [357,] 0.1332672985 0.1716238556
#> [358,] 0.1953853004 0.2200273183
#> [359,] NaN NaN
#> [360,] NaN NaN
#> [361,] 0.2204903004 0.2291379148
#> [362,] 0.2516254554 0.2871144562
#> [363,] -0.0726520573 -0.1114340578
#> [364,] 0.0287641560 0.0568110655
#> [365,] NaN NaN
#> [366,] -0.3887557015 -0.3303707036
#> [367,] NaN NaN
#> [368,] 0.0480152790 0.1055922243
#> [369,] NaN NaN
#> [370,] NaN NaN
#> [371,] -0.0424217135 0.0109222979
#> [372,] NaN NaN
#> [373,] NaN NaN
#> [374,] NaN NaN
#> [375,] 0.0097347348 -0.0216416974
#> [376,] 0.1047488355 0.1111195296
#> [377,] -0.1470632744 -0.1099889385
#> [378,] -0.1303069712 -0.1719185288
#> [379,] -0.0685234291 -0.0221780142
#> [380,] -0.0253169937 -0.0523633507
#> [381,] NaN NaN
#> [382,] -0.2146987573 -0.1749248431
#> [383,] 0.1778200027 0.0835507463
#> [384,] 0.0060111261 0.0034164905
#> [385,] -0.0420988806 -0.1514677260
#> [386,] 0.0900474145 0.0372679981
#> [387,] 0.1420366433 0.1827758779
#> [388,] 0.1210818368 0.1372999165
#> [389,] 0.0261271521 -0.0050321557
#> [390,] -0.0342911192 -0.0132554024
#> [391,] 0.0425345802 -0.0351552431
#> [392,] -0.0736451020 -0.0603547598
#> [393,] NaN NaN
#> [394,] NaN NaN
#> [395,] 0.0540933252 0.0239882500
#> [396,] NaN NaN
#> [397,] 0.0563704499 0.0512120159
#> [398,] 0.0891298873 0.0356277269
#> [399,] 0.3432041041 0.2396444608
#> [400,] 0.1182820231 0.0768299460
#> [401,] 0.0619045778 -0.0153596978
#> [402,] 0.0207829998 0.0856338397
#> [403,] -0.3522571492 -0.2394112568
#> [404,] -0.4052429730 -0.2346614245
#> [405,] -0.2086091347 -0.1647618224
#> [406,] -0.1836310620 -0.0938098395
#> [407,] -0.0687897246 -0.0241052623
#> [408,] -0.1548100891 -0.1277292353
#> [409,] 0.0955029429 0.1217083615
#> [410,] -0.1129606748 -0.0800241364
#> [411,] 0.0970000437 0.1754740466
#> [412,] 0.4863351952 0.4259205507
#> [413,] -0.0122776762 0.0183216684
#> [414,] -0.5892512218 -0.7834500497
#> [415,] 0.1028047399 0.1250029047
#> [416,] -0.0314846061 0.0063509784
#> [417,] 0.0361016035 0.0500412338
#> [418,] 0.0634396295 0.0986370338
#> [419,] -0.1299998338 -0.0358111733
#> [420,] -0.2118181112 -0.1933432244
#> [421,] 0.0360089403 0.0501111357
#> [422,] 0.1387668370 0.1188321569
#> [423,] 0.0296748857 -0.0109736049
#> [424,] -0.0126054645 -0.0053587281
#> [425,] NaN NaN
#> [426,] NaN NaN
#> [427,] NaN NaN
#> [428,] -0.0914390146 -0.0375265029
#>
#> $hii
#> [1] 0.012255774 0.012913021 0.021939537 0.031685494 0.040403769 0.032030662
#> [7] 0.050262451 0.037978976 0.027536411 0.013418580 0.052175046 0.058731975
#> [13] 0.021071006 0.018911401 0.018786932 0.039473751 0.072205282 0.074934213
#> [19] 0.042727055 0.012142221 0.048498220 0.052442354 0.047555937 0.010750285
#> [25] 0.049092112 0.024117521 0.040638199 0.044542673 0.029044795 0.044499262
#> [31] 0.027757774 0.014592653 0.021074443 0.009171367 0.016146496 0.013718330
#> [37] 0.053071741 0.009554159 0.031325172 0.015974999 NaN 0.059592824
#> [43] NaN 0.013480790 0.019376816 0.103688013 0.026443819 0.020176097
#> [49] 0.014368361 0.026820204 0.017442282 NaN 0.008438284 0.015264336
#> [55] 0.024939467 0.014640464 0.016847592 0.020510483 0.036958456 0.032859869
#> [61] 0.013660679 0.008964469 0.044623913 0.011024740 0.012092466 0.015209190
#> [67] 0.046882486 0.019740613 NaN 0.020631792 0.033807976 0.013884113
#> [73] 0.017760009 0.025125289 0.011865243 0.014567206 0.076821588 0.033656621
#> [79] 0.016927901 0.023094877 0.070580414 0.029675212 0.015793032 0.017219438
#> [85] 0.020761953 0.015107599 0.012207895 0.018131652 0.024989784 0.027242856
#> [91] 0.010838961 0.011957646 0.022610857 0.024502087 0.019269103 0.025778479
#> [97] 0.013638155 0.042195113 0.040278375 0.019775888 0.031675090 0.071090634
#> [103] 0.046488527 0.009802934 0.010324559 0.008623661 0.024037160 0.037578492
#> [109] 0.022066451 0.040046522 0.010905167 0.027428358 0.016963237 0.018385266
#> [115] 0.017601626 0.016864061 0.047914283 0.017810688 0.031278297 0.030597730
#> [121] 0.029767468 0.008675422 0.069211812 0.034445790 0.014426937 0.021648230
#> [127] 0.029749665 0.032510477 0.047072818 0.024813611 0.023289600 0.015285390
#> [133] 0.014272447 0.060398480 0.034979860 0.036798759 0.016842165 0.013784560
#> [139] 0.032920402 0.020793386 0.020116796 0.033381700 0.016188384 0.009048183
#> [145] 0.017780583 0.013925334 0.028347465 0.030994568 0.013142535 0.024743430
#> [151] 0.028982488 0.029029013 NaN 0.049872603 0.018923082 0.019520322
#> [157] NaN 0.035489342 0.051887691 0.022703507 0.021278836 0.047807913
#> [163] 0.033081831 0.028753684 0.129422403 0.014805268 0.098903583 0.027833774
#> [169] 0.019877558 0.038829193 0.035221304 NaN 0.077007122 0.030021511
#> [175] 0.053223380 0.014826582 0.046127285 0.018261163 0.015907427 0.047474221
#> [181] 0.048442041 0.062055393 0.039604920 0.010471015 0.035875983 NaN
#> [187] 0.041646479 0.024514546 NaN 0.042186156 0.018137283 0.027343882
#> [193] 0.029614559 0.019733990 0.064335854 0.016927526 0.011303267 0.020558312
#> [199] 0.111303087 0.057168317 0.013084051 0.027553004 0.062733685 0.028124104
#> [205] 0.015749761 0.031045671 0.017351397 0.040809837 0.019150853 NaN
#> [211] 0.017539999 0.020988753 0.033745295 0.019826092 0.021825553 0.021881270
#> [217] 0.065964762 0.045840499 0.023305856 0.009979083 0.011387470 0.036946475
#> [223] NaN 0.041008277 0.026102559 0.043458011 0.026165517 0.091907521
#> [229] 0.016093248 0.013140784 0.026734354 0.027892212 0.054068852 0.017908881
#> [235] 0.078840285 0.037268917 0.024084623 0.029521137 0.012939918 0.026192775
#> [241] NaN 0.034136988 0.031558429 0.029991991 0.042089581 0.015935582
#> [247] 0.016566248 NaN 0.043103304 0.015991891 0.060446987 0.014143782
#> [253] 0.038622725 0.014071262 0.067819600 0.013530869 0.036941979 0.010726210
#> [259] 0.018757225 0.009841053 0.018334366 0.035629255 0.029978515 0.019720821
#> [265] 0.026742736 0.021140813 0.055026439 0.032162399 0.025964228 0.025891097
#> [271] NaN 0.019598981 0.064324798 0.022859945 0.018934795 0.047414371
#> [277] 0.015465521 0.017526499 0.016723915 0.118006104 0.028973604 0.001411597
#> [283] 0.050078852 0.048271445 0.013629122 0.014601047 0.017472831 0.042164276
#> [289] 0.013963651 0.011464609 0.035293044 0.033649766 0.031670966 0.075175356
#> [295] 0.023987837 NaN 0.041397965 0.042983305 0.017405047 0.097942805
#> [301] 0.015542720 0.026910299 0.018424461 0.021924121 0.022266329 0.016108846
#> [307] 0.014426488 0.022264767 0.030079009 0.013182304 0.011436455 0.032458229
#> [313] 0.041102957 0.019803270 0.014192908 0.045903348 0.057530318 0.013375035
#> [319] 0.008739622 0.030435098 0.022597807 0.009352331 0.036631720 0.199559173
#> [325] 0.065523705 0.049735867 0.014229405 0.037004084 0.019158426 0.031369060
#> [331] 0.007371200 0.013626505 0.038757741 0.028517327 0.021538375 0.035774839
#> [337] 0.025163689 0.039293136 0.011991569 0.012821390 0.015835140 0.020258301
#> [343] 0.043949591 0.033422307 0.018191101 0.018625999 NaN NaN
#> [349] NaN 0.043795491 0.012478180 0.079069795 0.033353866 0.023025178
#> [355] NaN 0.028887562 0.040179851 0.010448144 NaN NaN
#> [361] 0.028927977 0.038106848 0.032109515 0.016251218 NaN 0.056556663
#> [367] NaN 0.022776942 NaN NaN 0.048912919 NaN
#> [373] NaN NaN 0.008659982 0.043234995 0.030479319 0.026196174
#> [379] 0.021873033 0.018906723 NaN 0.025502562 0.023894242 0.011650022
#> [385] 0.024228321 0.029483836 0.009908864 0.047606324 0.017123712 0.022050734
#> [391] 0.025939361 0.016518404 NaN NaN 0.015769638 NaN
#> [397] 0.026418452 0.035201789 0.051599412 0.020874683 0.068416837 0.013336702
#> [403] 0.035865841 0.044965894 0.029311917 0.033791217 0.026153626 0.043843150
#> [409] 0.019347437 0.019140513 0.036275410 0.061568087 0.026476068 0.118348527
#> [415] 0.014946720 0.016565555 0.016266935 0.019095967 0.029342218 0.035629837
#> [421] 0.023896532 0.020714802 0.017901487 0.015716845 NaN NaN
#> [427] NaN 0.060225426
#>
#> $leaveOutResid
#> y14 y15
#> [1,] -24752.1283 -74108.1477
#> [2,] 16815.3300 -9397.6170
#> [3,] -110755.2265 -12200.2712
#> [4,] 89771.8598 261612.0478
#> [5,] -32121.6991 -38060.8419
#> [6,] -12032.8840 -15603.7413
#> [7,] -15248.3816 -5490.0660
#> [8,] 2029.9217 -4547.7145
#> [9,] -8013.4944 -373.0236
#> [10,] -15596.6194 -72451.1427
#> [11,] -3739.4027 -3817.2866
#> [12,] -39476.7453 -46597.3474
#> [13,] -39645.0762 -34955.1396
#> [14,] -46812.4892 -33306.5020
#> [15,] 6817.4982 3179.5152
#> [16,] -44113.2649 -37060.9008
#> [17,] -64504.8387 -54013.4068
#> [18,] -75236.6112 -94574.9355
#> [19,] -70259.1811 -60035.3199
#> [20,] 7162.4774 139424.7236
#> [21,] 456.9829 -22414.8223
#> [22,] -104716.9589 -69685.1207
#> [23,] -66993.3933 -57310.7992
#> [24,] -63703.4451 88423.1256
#> [25,] 258675.0905 422440.7405
#> [26,] -621.5345 -49790.3035
#> [27,] -42789.0418 -52713.8108
#> [28,] 16425.0130 16380.8083
#> [29,] -38748.5320 -44131.6121
#> [30,] -65923.6784 -61734.6497
#> [31,] -43123.1065 -63571.1155
#> [32,] -261699.7902 -164559.1217
#> [33,] -206381.4044 -56750.8690
#> [34,] -137869.3773 -193367.3961
#> [35,] 10274.7827 -16077.8354
#> [36,] -266988.1179 -347196.3770
#> [37,] -39266.6237 -111618.2283
#> [38,] -247024.2649 -248248.9677
#> [39,] -55297.1351 -55008.3597
#> [40,] -30868.6119 -37193.0811
#> [41,] 6037343.3321 541600.1873
#> [42,] -24175.0093 -27903.7285
#> [43,] 555721.8856 544415.1960
#> [44,] 83891.7161 120773.3913
#> [45,] 31596.8811 11791.0782
#> [46,] 107641.3749 33615.3745
#> [47,] -3735.0637 9656.1036
#> [48,] 36561.8089 37978.3688
#> [49,] -221.3696 19487.2723
#> [50,] -4149.3677 1096.5333
#> [51,] 29252.4694 32096.7122
#> [52,] NA NA
#> [53,] 44287.5152 92313.8152
#> [54,] 104215.7755 113853.2717
#> [55,] 9368.0884 21961.9635
#> [56,] 14532.4361 12465.0101
#> [57,] -4555.5055 -1021.7875
#> [58,] 13310.6231 17249.0749
#> [59,] -26973.5900 -24485.0166
#> [60,] 25178.7391 32226.0695
#> [61,] 2995.8057 4407.1186
#> [62,] 10366.8727 12548.6576
#> [63,] -17918.9865 -12199.2477
#> [64,] 253501.3659 283362.3827
#> [65,] 86645.6781 135875.0206
#> [66,] 15088.6792 23829.0628
#> [67,] -8959.5188 -3851.8538
#> [68,] 13807.2224 14085.7230
#> [69,] NA NA
#> [70,] 8485.9761 8783.3818
#> [71,] 17738.7740 -10611.6281
#> [72,] 57733.6946 72986.5587
#> [73,] 32748.8089 25946.5906
#> [74,] 13762.6000 24406.8811
#> [75,] 37924.9718 15234.2093
#> [76,] 6265.4792 -4073.8958
#> [77,] -41483.7922 -48606.4394
#> [78,] 13322.4413 21923.5791
#> [79,] 6057.8300 13932.6143
#> [80,] 25168.1589 27563.2084
#> [81,] 7603.7361 -14153.3503
#> [82,] 87476.3839 99101.1128
#> [83,] 45456.4250 71469.8327
#> [84,] 27653.9723 24643.7640
#> [85,] -12711.7957 -7239.5270
#> [86,] 92340.7002 88780.5094
#> [87,] 32212.6075 19403.2388
#> [88,] -5169.8330 -11439.8294
#> [89,] 12678.5382 16263.4021
#> [90,] 87204.5057 397268.8747
#> [91,] 81521.4164 104375.7632
#> [92,] -97722.3734 -42811.7672
#> [93,] -2712.4397 30074.8675
#> [94,] 2693.5452 -5812.3586
#> [95,] 17466.5047 10364.5603
#> [96,] 83321.5765 47341.4430
#> [97,] 19170.4385 10911.9259
#> [98,] 86930.2577 87539.9919
#> [99,] 75678.3849 57673.6307
#> [100,] -14581.3527 -37935.7115
#> [101,] 2093.3041 8437.9080
#> [102,] -46098.6248 -50626.9492
#> [103,] -11338.5333 -21847.1268
#> [104,] -136350.8403 -214270.4298
#> [105,] -81517.5770 -183057.3102
#> [106,] -98022.2079 -192080.7500
#> [107,] 31858.9826 -7647.6000
#> [108,] 25967.6602 9961.5592
#> [109,] 35859.0549 19240.9726
#> [110,] 20977.3232 9042.1527
#> [111,] -68590.2153 43761.7548
#> [112,] -309.6807 -23375.4975
#> [113,] -21290.4850 17212.0306
#> [114,] -171200.3314 -177786.5819
#> [115,] 24099.6203 91348.7069
#> [116,] -664.9931 -7163.4322
#> [117,] -47157.6396 -76128.5541
#> [118,] -28884.2520 -45711.8142
#> [119,] 12063.1406 16319.6336
#> [120,] -18971.3451 -16433.2496
#> [121,] 19184.2017 19685.1984
#> [122,] -7571.6314 7514.2376
#> [123,] -46516.9016 -58093.0865
#> [124,] -3259.6326 -17924.2480
#> [125,] 204142.1043 181881.4549
#> [126,] 139263.4599 143336.1881
#> [127,] -10142.8882 -2689.6751
#> [128,] -11948.1243 -1898.8143
#> [129,] 120942.2360 120694.4719
#> [130,] -6266.8666 19838.3782
#> [131,] -1768.0487 15399.0219
#> [132,] 100837.3596 90323.5322
#> [133,] 11390.3523 -9612.0836
#> [134,] 18383.4089 -2123.7920
#> [135,] 144528.9301 122893.3111
#> [136,] 8272.8617 2345.6405
#> [137,] 5570.6708 14119.4479
#> [138,] 30578.2942 25881.6193
#> [139,] 8720.2370 17207.9684
#> [140,] 1073.5117 -1661.3285
#> [141,] 61759.9398 57611.6104
#> [142,] 118007.9017 97087.4767
#> [143,] 6810.8001 1730.8681
#> [144,] 84643.8874 -34662.3769
#> [145,] 103968.7913 -28774.6211
#> [146,] 3298.2894 4471.9189
#> [147,] 43800.7791 28583.1798
#> [148,] 13375.3035 21615.6351
#> [149,] -38670.7420 -54615.1674
#> [150,] -64789.9223 -59927.1012
#> [151,] -58835.6715 -73031.0298
#> [152,] -41671.7911 -46998.7598
#> [153,] NA NA
#> [154,] 3680.2346 5639.8197
#> [155,] -1683.4613 681.6458
#> [156,] 41690.4171 27890.4706
#> [157,] 176935.5183 155535.8632
#> [158,] 185558.0870 333975.0341
#> [159,] 38114.1671 53955.2336
#> [160,] -6274.4096 -18413.6311
#> [161,] 11741.1606 29923.3212
#> [162,] -18476.8494 -3520.2645
#> [163,] 14779.2339 29201.8943
#> [164,] -26135.0108 -34112.2595
#> [165,] -202.7821 5059.4984
#> [166,] 39084.6993 32593.1211
#> [167,] 4217.8113 5587.6231
#> [168,] -48666.5225 -58661.3295
#> [169,] -39627.2788 -71491.1790
#> [170,] -13269.4601 -9912.6741
#> [171,] 19634.9362 23684.9409
#> [172,] 206335.6313 182048.7200
#> [173,] 44569.5966 62445.1430
#> [174,] -313944.1672 -248614.5012
#> [175,] 496915.6373 83980.1847
#> [176,] -40445.0872 -94777.6208
#> [177,] 15704.0586 -457.4095
#> [178,] -26334.8729 -38070.7323
#> [179,] -29499.4212 -25369.9126
#> [180,] 54382.1298 140120.8982
#> [181,] 10589.0399 28354.0392
#> [182,] -44086.2846 -21003.2161
#> [183,] -40957.5373 -27896.0529
#> [184,] -45344.2798 -38136.8568
#> [185,] 51168.5868 59119.2956
#> [186,] 108024.9626 94745.2060
#> [187,] -158.3129 -9850.4394
#> [188,] 53536.8479 45894.9264
#> [189,] 237596.1916 240174.1906
#> [190,] 16096.8651 33683.5450
#> [191,] -4226.5302 7731.7788
#> [192,] -61943.1115 -44354.1799
#> [193,] 7235.7870 5590.9632
#> [194,] -1182.6847 2367.5097
#> [195,] -97477.4170 -48101.6401
#> [196,] -232800.1125 -199156.3827
#> [197,] 20361.9745 14171.5548
#> [198,] -35201.9642 -12516.8027
#> [199,] -58036.7079 -1321109.2079
#> [200,] 2006.7796 16107.4319
#> [201,] -29819.1950 -31404.6318
#> [202,] -112392.3865 -140711.0771
#> [203,] -64394.1950 -40415.2181
#> [204,] -55775.7769 -56538.7239
#> [205,] -10952.9097 5019.0578
#> [206,] 1804.6417 53490.0497
#> [207,] -11718.1198 -10795.3910
#> [208,] 169081.4008 147874.8557
#> [209,] 66031.8247 49851.5579
#> [210,] 111378.0682 97127.7920
#> [211,] 612.3289 -6277.5656
#> [212,] -4231.6647 -1289.9517
#> [213,] -14603.7476 -3499.2853
#> [214,] 49184.3632 69352.3728
#> [215,] -6019.2117 5300.6222
#> [216,] -34189.7773 -31434.9131
#> [217,] -166827.2835 -224053.7942
#> [218,] -131757.4493 -206845.4575
#> [219,] -29447.5552 -3172.7226
#> [220,] -273690.9565 -224168.4844
#> [221,] -161993.9766 -215256.2202
#> [222,] -10576.8570 1189.6990
#> [223,] 61306.0248 55392.4560
#> [224,] -12504.7046 2550.6167
#> [225,] -40643.8744 -83215.0797
#> [226,] 16439.6464 13914.9031
#> [227,] 14483.1216 30440.4941
#> [228,] -240814.3233 -237582.9569
#> [229,] 9220.5853 27372.5785
#> [230,] 10697.9797 12569.1144
#> [231,] 1719.2059 6011.4179
#> [232,] 94121.8957 115653.7840
#> [233,] -18956.7735 -9757.3848
#> [234,] 10249.8567 3122.1272
#> [235,] 12070.3860 9654.1949
#> [236,] 47087.1223 35976.5395
#> [237,] 21107.3583 17324.0920
#> [238,] 39632.5384 29890.8004
#> [239,] 2272.7523 6086.8554
#> [240,] 49394.9312 49048.4001
#> [241,] 162708.5009 114382.6780
#> [242,] 170.0696 -652.2746
#> [243,] 17513.0335 20348.9007
#> [244,] 30207.3127 36369.8217
#> [245,] 18405.8375 28470.6515
#> [246,] 16010.0834 11388.9050
#> [247,] 2719.9840 -24235.4803
#> [248,] NA NA
#> [249,] 116194.8575 132704.9229
#> [250,] -12074.9178 -15592.4188
#> [251,] -56971.0834 -57762.2474
#> [252,] -22576.4961 -7687.3862
#> [253,] 13576.5954 18234.8491
#> [254,] -10718.2135 -14831.3831
#> [255,] -17383.0022 -13690.2474
#> [256,] 59388.7414 57134.5943
#> [257,] 28227.4442 47848.8758
#> [258,] 172213.2300 233775.8673
#> [259,] 27583.6381 41521.9067
#> [260,] 142995.9165 224743.6009
#> [261,] -10635.0561 3436.8690
#> [262,] 32911.7163 46320.9451
#> [263,] 25569.7669 -13869.7135
#> [264,] -101322.0767 -121851.2435
#> [265,] -35179.8505 -39523.9244
#> [266,] 26181.7379 19759.0938
#> [267,] -31254.0527 -20849.7507
#> [268,] 30796.6782 32446.3527
#> [269,] -10556.4076 -1996.3196
#> [270,] -43461.1241 -20494.5387
#> [271,] NA NA
#> [272,] -16123.8807 202.3347
#> [273,] -33333.8254 -18941.8291
#> [274,] 12712.8081 9882.7150
#> [275,] -110563.8926 -118339.2197
#> [276,] -65287.8378 -48157.0292
#> [277,] 61887.2887 89192.5780
#> [278,] -20640.3929 -1717.1243
#> [279,] 18558.5381 19576.0475
#> [280,] -29714.6540 -25015.0231
#> [281,] -10508.2288 -828.4870
#> [282,] 152255.1996 126125.3586
#> [283,] -10433.3884 -31319.9354
#> [284,] 6403.1758 15904.7551
#> [285,] -77044.0748 -90280.1438
#> [286,] -17634.3663 -19534.3678
#> [287,] 674.6065 -593.1232
#> [288,] 109692.7503 109344.3979
#> [289,] 35861.4290 49843.0672
#> [290,] 25370.7960 31793.2338
#> [291,] -21121.6133 -16489.0241
#> [292,] -47227.9335 -44977.7642
#> [293,] -5135.3007 -1355.6791
#> [294,] -152887.9598 169590.0773
#> [295,] -14960.0857 -14007.6121
#> [296,] NA NA
#> [297,] -48842.6233 -27575.6500
#> [298,] -42040.3700 -23523.2345
#> [299,] 32547.2167 29848.0053
#> [300,] -11551.4237 -320.4113
#> [301,] -1480.0567 24069.5313
#> [302,] -15809.9645 -18017.5046
#> [303,] 1924.9645 9146.6052
#> [304,] 550.9672 -4817.3355
#> [305,] 581.1454 1395.9076
#> [306,] -4932.4712 -18148.3721
#> [307,] 29585.0102 41739.5050
#> [308,] -903.5665 7103.3225
#> [309,] 158368.6941 193554.4595
#> [310,] -7998.6718 -11655.5978
#> [311,] 4731.9315 7988.3364
#> [312,] 44192.3326 52508.1538
#> [313,] 76606.0986 107169.6264
#> [314,] 6644.1054 40749.5991
#> [315,] -49650.4594 -56736.0157
#> [316,] -67975.1479 -49026.2733
#> [317,] 29838.1932 35365.7198
#> [318,] 35261.7653 26588.8390
#> [319,] 80747.3581 16236.5189
#> [320,] -25251.8055 -83976.6370
#> [321,] 4848.9489 8633.3259
#> [322,] 37190.9961 82604.2950
#> [323,] -562.3228 795.8544
#> [324,] -44402.3751 -38376.4950
#> [325,] 81266.9421 22258.5290
#> [326,] 75289.0266 56247.6708
#> [327,] 21887.8501 28596.9575
#> [328,] -16872.9467 -13372.1739
#> [329,] -8011.4813 -3730.1145
#> [330,] 27909.9658 29770.1988
#> [331,] 21311.0441 15858.7471
#> [332,] 13140.7101 6912.9027
#> [333,] 3839.4478 -4411.8418
#> [334,] -1284.4880 2812.3232
#> [335,] -37026.7046 -40082.9265
#> [336,] 10150.5938 3759.9474
#> [337,] -9614.3027 -11050.2884
#> [338,] -49912.8476 -67239.7291
#> [339,] 43047.3703 32515.5117
#> [340,] 7565.6387 3757.9528
#> [341,] -33809.7919 -33578.5646
#> [342,] 20015.3685 -12516.0692
#> [343,] -34074.1156 -20384.4725
#> [344,] 13461.2693 13110.8017
#> [345,] 2712.4006 8488.8022
#> [346,] 27371.3187 45133.1305
#> [347,] NA NA
#> [348,] NA NA
#> [349,] NA NA
#> [350,] -24381.7865 -48763.9615
#> [351,] 43854.2827 35224.5883
#> [352,] -162032.0478 -110490.6029
#> [353,] -7300.8112 -4457.1643
#> [354,] 17450.5194 5710.6944
#> [355,] NA NA
#> [356,] 33752.6445 32900.5196
#> [357,] 27361.8998 37239.5814
#> [358,] 188741.5872 224423.3797
#> [359,] NA NA
#> [360,] NA NA
#> [361,] 28320.3745 31109.7191
#> [362,] 63616.0765 76693.1888
#> [363,] -11264.5490 -18261.0116
#> [364,] 4460.4617 9311.9792
#> [365,] NA NA
#> [366,] -98166.7826 -88277.7294
#> [367,] NA NA
#> [368,] 9862.5200 22918.5739
#> [369,] NA NA
#> [370,] NA NA
#> [371,] -5460.1967 1486.3348
#> [372,] NA NA
#> [373,] NA NA
#> [374,] NA NA
#> [375,] 1509.6446 -3547.9816
#> [376,] 8563.7305 9603.9676
#> [377,] -18912.6132 -14960.0549
#> [378,] -52335.6996 -72954.2191
#> [379,] -27536.5744 -9424.6396
#> [380,] -10176.1595 -22248.5034
#> [381,] NA NA
#> [382,] -55497.5821 -47840.6414
#> [383,] 71356.6592 35492.9502
#> [384,] 2416.2667 1451.8920
#> [385,] -5418.3848 -20587.1727
#> [386,] 87367.6874 38238.9435
#> [387,] 137493.9485 186730.6776
#> [388,] 18770.1721 22499.6389
#> [389,] 6768.9050 -1378.3701
#> [390,] -5317.5142 -2173.2473
#> [391,] 5474.4868 -4783.7398
#> [392,] -11416.0592 -9892.5511
#> [393,] NA NA
#> [394,] 133971.6887 102491.9365
#> [395,] 21738.5275 10193.7202
#> [396,] NA NA
#> [397,] 7254.7871 6968.2001
#> [398,] 11469.3565 4848.1070
#> [399,] 27987.9653 20690.9971
#> [400,] 15211.9242 10451.4448
#> [401,] 15682.5478 -4114.0389
#> [402,] 8353.7361 36365.5606
#> [403,] -54389.9702 -39172.9745
#> [404,] -62558.7755 -38414.4905
#> [405,] -32290.0081 -26981.3800
#> [406,] -28441.5109 -15375.3611
#> [407,] -14128.2335 -5235.1405
#> [408,] -31780.8676 -27727.8329
#> [409,] 14801.6295 19934.8270
#> [410,] -23185.6296 -17372.5027
#> [411,] 24567.0385 46949.7729
#> [412,] 122633.4587 113668.9387
#> [413,] -2522.1910 3979.1179
#> [414,] -148782.2300 -208593.8666
#> [415,] 15928.4043 20466.9490
#> [416,] -4882.2659 1041.2618
#> [417,] 5598.0690 8202.8008
#> [418,] 9835.5653 16161.2624
#> [419,] -26686.3095 -7777.1979
#> [420,] -43444.5403 -41935.3615
#> [421,] 7396.8197 10881.8937
#> [422,] 21494.2801 19465.8564
#> [423,] 4601.6994 -1799.1452
#> [424,] -1954.8343 -878.5801
#> [425,] NA NA
#> [426,] NA NA
#> [427,] NA NA
#> [428,] -23162.2458 -10051.0884
#>
#> $sigmaHat
#> y14 y15
#> [1,] 614.0006 649.1315
#>
#> $seEstimate
#> y14 y15
#> 1 0.00 0.00
#> 2 89638.83 94767.64
#> 3 59007.66 62383.87
#> 4 32278.70 34125.57
#> 5 64406.79 68091.91
#> 6 70925.67 74983.78
#> 7 0.00 0.00
#> 8 0.00 0.00
#> 10 0.00 0.00
#> 11 0.00 0.00
#> 12 0.00 0.00
#> 13 19017.86 20105.99
#>
#> $seRobust
#> [,1] [,2]
#> [1,] NaN NaN
#> [2,] 72528.68 70468.60
#> [3,] 77227.64 85487.30
#> [4,] 27621.16 22438.10
#> [5,] 43221.03 39210.14
#> [6,] 74946.89 63719.84
#> [7,] NaN NaN
#> [8,] NaN NaN
#> [9,] NaN NaN
#> [10,] NaN NaN
#> [11,] NaN NaN
#> [12,] 22528.13 35946.74
#>
#> $iter
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [38] 0 0 0 2 0 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [149] 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [186] 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0
#> [223] 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [260] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 1 1
#> [371] 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 5 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0
#>
# Using transformation and "BackTransform"
LmImpute(w, "sqrt(y)~x",BackTransform = function(x) x^2,returnYHat = TRUE)
#> $category123
#> [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2
#> [38] 1 1 1 2 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1
#> [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [149] 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1
#> [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [260] 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 3
#> [297] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1
#> [334] 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1 1 1 1 1 3 1 1 1 3 3 1 1 1 1 3 1 3 1 3 3
#> [371] 1 3 3 3 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 3 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [408] 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 2
#>
#> $N
#> [1] 428
#>
#> $yHat
#> 1 2 3 4 5 6
#> 12514.5032 13578.5216 32583.2455 62294.7656 1430.8966 840.4494
#> 7 8 9 10 11 12
#> 1243.5948 724.0731 1615.5178 1706.6189 4817.5167 3295.7909
#> 13 14 15 16 17 18
#> 1270.2142 2302.9676 2108.7904 4755.7306 1579.8222 1624.4467
#> 19 20 21 22 23 24
#> 5268.6138 12335.0685 6243.0439 4849.1534 6078.3001 10240.8514
#> 25 26 27 28 29 30
#> 139106.6809 38394.9116 4936.2885 5566.2625 3288.6106 5559.0503
#> 31 32 33 34 35 36
#> 3126.2603 16494.8842 30407.1181 8100.9845 1847.3444 14941.4118
#> 37 38 39 40 41 42
#> 7073.9469 8596.7689 3586.3581 1093.3691 3600655.3895 5733.8645
#> 43 44 45 46 47 48
#> 12246.1518 14532.6273 2169.5622 6759.8425 1567.4117 2253.2841
#> 49 50 51 52 53 54
#> 1803.3576 1485.6332 2134.7297 1273.8659 7192.6101 1897.0604
#> 55 56 57 58 59 60
#> 1413.3071 1049.2466 920.9496 824.2031 876.4463 1670.1576
#> 61 62 63 64 65 66
#> 1017.4313 871.7374 933.9418 10638.3695 12256.8552 1067.9388
#> 67 68 69 70 71 72
#> 951.2308 977.5505 1003.1481 1254.4505 1707.7941 1753.7020
#> 73 74 75 76 77 78
#> 1153.8060 1420.3727 1554.1530 1823.9484 4541.6614 3904.1120
#> 79 80 81 82 83 84
#> 1922.9143 2572.4781 4089.2977 1711.7926 1953.4658 1135.3317
#> 85 86 87 88 89 90
#> 826.8180 1880.4973 971.1584 1166.5935 871.4016 47567.2031
#> 91 92 93 94 95 96
#> 10368.4616 12046.1726 1957.4904 786.9116 1206.1691 1445.3494
#> 97 98 99 100 101 102
#> 1016.7056 1474.2543 1427.8858 1224.0143 990.2184 4125.3882
#> 103 104 105 106 107 108
#> 5894.3408 8926.8707 9639.2099 7417.2128 2680.0380 1067.5670
#> 109 110 111 112 113 114
#> 840.4494 1039.6872 10464.2514 3085.3669 21093.3470 24122.7675
#> 115 116 117 118 119 120
#> 22428.2035 1916.6834 2645.9878 1155.5456 2664.7472 1754.1784
#> 121 122 123 124 125 126
#> 3381.5731 7480.5432 1531.5866 1026.1590 16194.5447 31842.0700
#> 127 128 129 130 131 132
#> 3741.2875 1000.9873 4233.5007 3043.1735 1351.3453 1899.2909
#> 133 134 135 136 137 138
#> 1793.4674 1393.9143 1754.8932 875.2679 1122.5266 1021.4268
#> 139 140 141 142 143 144
#> 846.8930 827.1451 985.0343 1267.1750 1996.1850 7944.5711
#> 145 146 147 148 149 150
#> 22809.7485 1025.9768 947.9004 1772.5709 1679.0029 3033.7670
#> 151 152 153 154 155 156
#> 1571.0170 915.0898 826.1639 1237.9845 807.7919 813.9470
#> 157 158 159 160 161 162
#> 766.4621 76480.7194 4783.6227 2766.7145 2587.5022 4315.3159
#> 163 164 165 166 167 168
#> 1870.8895 3251.5288 992.9052 765.9898 898.4749 1525.3598
#> 169 170 171 172 173 174
#> 2417.0859 890.3094 1764.6767 912.5106 4555.4722 56546.2798
#> 175 176 177 178 179 180
#> 161807.6109 16923.5472 1184.7319 1171.0664 1091.1133 6064.1172
#> 181 182 183 184 185 186
#> 6233.1600 6055.7039 3446.7165 9844.1287 3084.1031 813.2980
#> 187 188 189 190 191 192
#> 3653.7796 1074.6412 1303.0633 1474.0359 1166.7878 1506.0932
#> 193 194 195 196 197 198
#> 701.5970 753.9156 3143.7773 21019.8850 653.6296 2499.1508
#> 199 200 201 202 203 204
#> 662484.3167 1345.0794 1673.1810 3421.7158 6145.8953 1151.1025
#> 205 206 207 208 209 210
#> 1085.8586 3936.5221 791.7059 1998.7272 1202.0240 763.3158
#> 211 212 213 214 215 216
#> 793.6277 762.5302 4359.1457 2410.9373 1297.5251 1020.5181
#> 217 218 219 220 221 222
#> 6584.6777 1564.4854 2010.1873 9164.3647 11175.3565 1349.0461
#> 223 224 225 226 227 228
#> 680.2169 2268.4303 2229.3170 1505.2103 1555.2744 4814.3587
#> 229 230 231 232 233 234
#> 1097.3226 709.4537 890.1397 3470.1326 1007.2960 741.4725
#> 235 236 237 238 239 240
#> 838.9659 1356.5779 1065.7093 822.4077 994.3396 2236.5744
#> 241 242 243 244 245 246
#> 900.8636 971.8676 1619.1780 1558.8657 1128.6334 1092.0529
#> 247 248 249 250 251 252
#> 1113.2076 1128.0602 3805.2292 1093.9335 1291.3855 1780.2427
#> 253 254 255 256 257 258
#> 1081.5517 1772.8104 807.1454 1717.9170 2059.7100 10206.3425
#> 259 260 261 262 263 264
#> 24948.6955 8978.0003 1173.5983 1041.7058 2551.7476 2398.3852
#> 265 266 267 268 269 270
#> 1580.5005 2570.4589 3065.1786 996.4932 881.8434 1449.6777
#> 271 272 273 274 275 276
#> 778.3186 2192.6741 1454.4463 2546.0040 2305.6982 2617.6818
#> 277 278 279 280 281 282
#> 1918.4270 2144.2016 1118.5280 957.0290 818.4973 1225.2086
#> 283 284 285 286 287 288
#> 2770.3061 1215.0753 1727.8334 1047.9572 1143.9730 2057.6453
#> 289 290 291 292 293 294
#> 1761.8104 947.9004 864.1962 966.3782 1228.7952 311199.1621
#> 295 296 297 298 299 300
#> 1377.3985 771.6678 1454.8802 1493.5366 1585.0266 895.5787
#> 301 302 303 304 305 306
#> 1926.6576 1489.1433 1176.7182 768.9839 771.3518 1987.5535
#> 307 308 309 310 311 312
#> 1042.2566 1313.5564 3422.0485 1682.9676 947.0249 1841.2373
#> 313 314 315 316 317 318
#> 5009.2925 2214.0345 1785.2864 4104.9539 1350.5090 751.7306
#> 319 320 321 322 323 324
#> 7559.4666 3843.9247 1035.1070 8333.5297 1054.9662 1227.7984
#> 325 326 327 328 329 330
#> 6523.8903 4533.6148 1035.8391 876.7831 966.0245 835.6739
#> 331 332 333 334 335 336
#> 693.3347 754.2280 1024.7018 815.2458 1287.0964 718.1160
#> 337 338 339 340 341 342
#> 791.5458 1404.3399 1566.2859 707.3341 1957.9938 28423.0681
#> 343 344 345 346 347 348
#> 6151.2476 850.5387 947.0249 2269.7851 814.2716 699.0380
#> 349 350 351 352 353 354
#> 897.2818 2129.7392 979.6858 3992.3938 850.0411 850.5387
#> 355 356 357 358 359 360
#> 840.1196 913.5418 1425.5224 9811.9857 928.2140 694.6834
#> 361 362 363 364 365 366
#> 818.1719 1883.7054 949.1267 780.5419 1471.8528 2736.5779
#> 367 368 369 370 371 372
#> 935.1590 1038.7704 911.1364 937.0734 966.9087 820.6143
#> 373 374 375 376 377 378
#> 839.7899 1041.1551 705.6710 738.3779 829.2732 3231.4498
#> 379 380 381 382 383 384
#> 2661.5182 2302.4217 1055.1510 1434.7723 2921.1026 1533.5908
#> 385 386 387 388 389 390
#> 784.9980 54748.2748 9069.3180 1129.7803 1132.0758 840.2845
#> 391 392 393 394 395 396
#> 796.9964 783.2458 1326.9909 982.1800 1950.9525 1212.1029
#> 397 398 399 400 401 402
#> 800.3722 863.5275 761.4311 761.7450 3368.6850 1698.4042
#> 403 404 405 406 407 408
#> 991.4718 1097.8879 918.1897 967.9703 1109.0362 1514.7148
#> 409 410 411 412 413 414
#> 812.1629 965.6710 1807.7083 2995.6640 1115.8662 6749.5575
#> 415 416 417 418 419 420
#> 767.4073 783.7235 780.7008 809.5713 1177.4988 1318.5088
#> 421 422 423 424 425 426
#> 1061.8133 826.3274 797.3176 775.1480 1109.4151 768.6684
#> 427 428
#> 978.7958 2925.1007
#>
#> $yImputed
#> 1 2 3 4 5 6
#> 2792.0000 11319.0000 32854.0000 42362.0000 3278.0000 853.0000
#> 7 8 9 10 11 12
#> 1531.0000 103.0000 2226.0000 2512.0000 6721.0000 10538.0000
#> 13 14 15 16 17 18
#> 0.0000 474.0000 1507.0000 5491.0000 331.0000 811.0000
#> 19 20 21 22 23 24
#> 9867.0000 22914.0000 9635.0000 7751.0000 10648.0000 14146.0000
#> 25 26 27 28 29 30
#> 97383.0000 53067.0000 0.0000 4400.0000 1353.0000 11010.0000
#> 31 32 33 34 35 36
#> 2809.0000 23871.0000 41227.0000 9878.0000 400.0000 23717.0000
#> 37 38 39 40 41 42
#> 112.0000 13445.0000 4830.0000 1245.0000 455113.0000 10354.0000
#> 43 44 45 46 47 48
#> 23153.0000 7146.0000 3649.0000 616.0000 2657.0000 2904.0000
#> 49 50 51 52 53 54
#> 1440.0000 1537.0000 1500.0000 1273.8659 7919.0000 10.0000
#> 55 56 57 58 59 60
#> 0.0000 309.0000 742.0000 409.0000 569.0000 1909.0000
#> 61 62 63 64 65 66
#> 830.0000 0.0000 1828.0000 20635.0000 7666.0000 1256.0000
#> 67 68 69 70 71 72
#> 742.0000 3199.0000 1003.1481 1721.0000 7149.0000 4099.0000
#> 73 74 75 76 77 78
#> 0.0000 1576.0000 1535.0000 5721.0000 824.0000 1803.0000
#> 79 80 81 82 83 84
#> 3715.0000 1433.0000 3384.0000 1961.0000 445.0000 0.0000
#> 85 86 87 88 89 90
#> 1097.0000 5303.0000 801.0000 0.0000 140.0000 56116.0000
#> 91 92 93 94 95 96
#> 0.0000 15997.0000 2624.0000 1145.0000 1726.0000 2957.0000
#> 97 98 99 100 101 102
#> 1291.0000 690.0000 1208.0000 106.0000 260.0000 3835.0000
#> 103 104 105 106 107 108
#> 7781.0000 5406.0000 20942.0000 4783.0000 16.0000 1216.0000
#> 109 110 111 112 113 114
#> 304.0000 1873.0000 2934.0000 2043.0000 29885.0000 20503.0000
#> 115 116 117 118 119 120
#> 14068.0000 781.0000 2501.0000 2201.0000 3876.0000 1232.0000
#> 121 122 123 124 125 126
#> 2907.0000 7164.0000 1143.0000 0.0000 12781.0000 72675.0000
#> 127 128 129 130 131 132
#> 9812.0000 106.0000 6103.0000 4926.0000 1600.0000 2033.0000
#> 133 134 135 136 137 138
#> 265.0000 447.0000 3801.0000 0.0000 1015.0000 2806.0000
#> 139 140 141 142 143 144
#> 377.0000 1587.0000 2287.0000 0.0000 2037.0000 8696.0000
#> 145 146 147 148 149 150
#> 23978.0000 0.0000 2438.0000 370.0000 11348.0000 4156.0000
#> 151 152 153 154 155 156
#> 387.0000 1072.0000 826.1639 1088.0000 784.0000 3053.0000
#> 157 158 159 160 161 162
#> 4103.0000 78937.0000 14448.0000 11708.0000 6981.0000 6404.0000
#> 163 164 165 166 167 168
#> 3191.0000 1007.0000 1879.0000 696.0000 455.0000 1512.0000
#> 169 170 171 172 173 174
#> 8749.0000 45.0000 863.0000 739.0000 5848.0000 47888.0000
#> 175 176 177 178 179 180
#> 138672.0000 28370.0000 0.0000 5084.0000 566.0000 0.0000
#> 181 182 183 184 185 186
#> 7220.0000 6665.0000 5484.0000 22687.0000 11144.0000 1386.0000
#> 187 188 189 190 191 192
#> 2357.0000 2196.0000 4214.0000 7117.0000 0.0000 1491.0000
#> 193 194 195 196 197 198
#> 178.0000 15.0000 5125.0000 13044.0000 563.0000 2689.0000
#> 199 200 201 202 203 204
#> 205308.0000 674.0000 1531.0000 262.0000 6421.0000 0.0000
#> 205 206 207 208 209 210
#> 169.0000 829.0000 0.0000 6358.0000 1092.0000 1371.0000
#> 211 212 213 214 215 216
#> 633.0000 25.0000 8113.0000 5161.0000 1435.0000 572.0000
#> 217 218 219 220 221 222
#> 2162.0000 2002.0000 0.0000 7228.0000 9927.0000 4074.0000
#> 223 224 225 226 227 228
#> 0.0000 846.0000 0.0000 2720.0000 2169.0000 8647.0000
#> 229 230 231 232 233 234
#> 4004.0000 1303.0000 1542.0000 14126.0000 0.0000 658.0000
#> 235 236 237 238 239 240
#> 387.0000 12094.0000 0.0000 1048.0000 2397.0000 397.0000
#> 241 242 243 244 245 246
#> 0.0000 0.0000 8456.0000 11700.0000 0.0000 1079.0000
#> 247 248 249 250 251 252
#> 285.0000 1128.0602 5772.0000 94.0000 758.0000 1895.0000
#> 253 254 255 256 257 258
#> 0.0000 3038.0000 0.0000 8526.0000 2281.0000 24205.0000
#> 259 260 261 262 263 264
#> 22851.0000 7486.0000 1064.0000 405.0000 3423.0000 5817.0000
#> 265 266 267 268 269 270
#> 1780.0000 932.0000 3974.0000 3098.0000 601.0000 461.0000
#> 271 272 273 274 275 276
#> 778.3186 3714.0000 3436.0000 2024.0000 2111.0000 1115.0000
#> 277 278 279 280 281 282
#> 2432.0000 3288.0000 554.0000 0.0000 0.0000 1770.0000
#> 283 284 285 286 287 288
#> 1287.0000 2093.0000 1862.0000 1061.0000 980.0000 7244.0000
#> 289 290 291 292 293 294
#> 5687.0000 0.0000 958.0000 1105.0000 1765.0000 77340.0000
#> 295 296 297 298 299 300
#> 3297.0000 771.6678 14.0000 3938.0000 5014.0000 1070.0000
#> 301 302 303 304 305 306
#> 388.0000 2042.0000 2.0000 0.0000 564.0000 5541.0000
#> 307 308 309 310 311 312
#> 1462.0000 0.0000 7918.0000 0.0000 1926.0000 5310.0000
#> 313 314 315 316 317 318
#> 12273.0000 1835.0000 2014.0000 14395.0000 2009.0000 3413.0000
#> 319 320 321 322 323 324
#> 2123.0000 9687.0000 3978.0000 23850.0000 0.0000 1291.0000
#> 325 326 327 328 329 330
#> 25837.0000 3302.0000 473.0000 0.0000 0.0000 1379.0000
#> 331 332 333 334 335 336
#> 297.0000 0.0000 3258.0000 0.0000 331.0000 85.0000
#> 337 338 339 340 341 342
#> 405.0000 5225.0000 607.0000 0.0000 132.0000 32268.0000
#> 343 344 345 346 347 348
#> 13906.0000 0.0000 1226.0000 5188.0000 814.2716 699.0380
#> 349 350 351 352 353 354
#> 897.2818 5115.0000 594.0000 8888.0000 22.0000 1127.0000
#> 355 356 357 358 359 360
#> 840.1196 354.0000 1770.0000 20207.0000 928.2140 694.6834
#> 361 362 363 364 365 366
#> 14.0000 2027.0000 744.0000 0.0000 1471.8528 8214.0000
#> 367 368 369 370 371 372
#> 935.1590 2327.0000 911.1364 937.0734 1529.0000 820.6143
#> 373 374 375 376 377 378
#> 839.7899 1041.1551 22.0000 0.0000 147.0000 1959.0000
#> 379 380 381 382 383 384
#> 2793.0000 4907.0000 1055.1510 2105.0000 9559.0000 3177.0000
#> 385 386 387 388 389 390
#> 0.0000 31866.0000 15689.0000 4104.0000 2090.0000 891.0000
#> 391 392 393 394 395 396
#> 0.0000 0.0000 1326.9909 3622.0000 5510.0000 1212.1029
#> 397 398 399 400 401 402
#> 146.0000 0.0000 0.0000 225.0000 1766.0000 712.0000
#> 403 404 405 406 407 408
#> 997.0000 591.0000 1061.0000 595.0000 629.0000 969.0000
#> 409 410 411 412 413 414
#> 0.0000 8367.0000 1913.0000 17871.0000 1708.0000 14343.0000
#> 415 416 417 418 419 420
#> 0.0000 24.0000 530.0000 653.0000 2742.0000 0.0000
#> 421 422 423 424 425 426
#> 4038.0000 1667.0000 1569.0000 1048.0000 1109.4151 768.6684
#> 427 428
#> 978.7958 19083.0000
#>
#> $nImputed
#> [1] 25
#>
#> $estimate
#> [1] 2972920
#>
#> $cv
#> [1] 0.004744782
#>
#> $estimateYHat
#> [1] 6497254
#>
#> $estimateOrig
#> [1] 2948857
#>
#> $coef
#> (Intercept) x
#> 25.330179387 0.002848908
#>
#> $nModel
#> [1] 400
#>
#> $rStud
#> [1] -2.210579194 -0.392437468 0.005732918 -1.688556508 0.703120279
#> [6] -0.004565356 0.129450285 -0.630376652 0.244226522 0.311281789
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#>
#> $dffits
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#>
#> $hii
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#> [247] 0.003056293 NaN 0.002585287 0.003072264 0.002924621 0.002678363
#> [253] 0.003082719 0.002681103 0.003360095 0.002702174 0.002593262 0.005505720
#> [259] 0.017090852 0.004761346 0.003008544 0.003117433 0.002513774 0.002530225
#> [265] 0.002761789 0.002512230 0.002503641 0.003158892 0.003274933 0.002828617
#> [271] NaN 0.002563779 0.002825993 0.002514268 0.002543629 0.002508761
#> [277] 0.002632091 0.002573777 0.003051948 0.003196991 0.003346616 0.002970343
#> [283] 0.002501577 0.002977662 0.002698257 0.003111876 0.003031543 0.002593772
#> [289] 0.002685206 0.003206070 0.003294320 0.003187798 0.002967773 NaN
#> [295] 0.002870247 NaN 0.002825755 0.002805037 0.002759660 0.003260140
#> [301] 0.002629602 0.002807344 0.003006169 0.003406919 0.003403944 0.002612078
#> [307] 0.003116942 0.002910077 0.002530695 0.002716381 0.003206946 0.002656868
#> [313] 0.002890809 0.002559637 0.002676519 0.002643930 0.002886661 0.003428887
#> [319] 0.003982733 0.002592114 0.003123344 0.004395659 0.003105696 0.002968486
#> [325] 0.003482873 0.002748930 0.003122686 0.003280447 0.003188144 0.003326596
#> [331] 0.003507218 0.003425676 0.003132760 0.003350456 0.002927478 0.003473201
#> [337] 0.003378949 0.002854314 0.002768551 0.003487856 0.002620392 0.020221652
#> [343] 0.003320149 0.003309627 0.003206946 0.002549565 NaN NaN
#> [349] NaN 0.002576924 0.003174893 0.002620385 0.003310190 0.003309627
#> [355] NaN 0.003241177 0.002842136 0.005260490 NaN NaN
#> [361] 0.003346999 0.002642910 0.003204844 0.003392486 NaN 0.002502651
#> [367] NaN 0.003120056 NaN NaN 0.003187279 NaN
#> [373] NaN NaN 0.003490137 0.003446246 0.003334004 0.002513143
#> [379] 0.002506079 0.002544153 NaN 0.002836914 0.002500146 0.002784554
#> [385] 0.003386980 0.046140397 0.004814633 0.003042848 0.003041007 0.003321298
#> [391] 0.003372317 0.003389141 NaN 0.003172498 0.002622425 NaN
#> [397] 0.003368234 0.003295063 0.003416473 0.003416074 0.002525097 0.002710029
#> [403] 0.003163638 0.003068957 0.003236340 0.003186243 0.003059718 0.002794085
#> [409] 0.003354112 0.003188489 0.002668468 0.002501384 0.003054118 0.003586093
#> [415] 0.003408906 0.003388551 0.003392289 0.003357197 0.003005576 0.002906880
#> [421] 0.003099708 0.003337434 0.003371928 0.003399194 NaN NaN
#> [427] NaN 0.002500181
#>
#> $leaveOutResid
#> 1 2 3 4 5
#> -9.924896e+03 -2.392763e+03 5.715641e+01 -2.156611e+04 1.824309e+03
#> 6 7 8 9 10
#> -7.275852e+00 2.633325e+02 -6.425134e+02 5.830235e+02 7.773951e+02
#> 11 12 13 14 15
#> 1.851563e+03 7.210662e+03 -1.302985e+03 -1.871327e+03 -6.375171e+02
#> 16 17 18 19 20
#> 6.808482e+02 -1.282252e+03 -8.452053e+02 4.549753e+03 1.053442e+04
#> 21 22 23 24 25
#> 3.334841e+03 2.852045e+03 4.516556e+03 3.831141e+03 -4.999701e+04
#> 26 27 28 29 30
#> 1.483369e+04 -5.022688e+03 -1.232591e+03 -1.986284e+03 5.402594e+03
#> 31 32 33 34 35
#> -3.613768e+02 7.312163e+03 1.083700e+04 1.704149e+03 -1.484078e+03
#> 36 37 38 39 40
#> 8.722086e+03 -7.081871e+03 4.784549e+03 1.199437e+03 1.289882e+02
#> 41 42 43 44 45
#> -3.158775e+06 4.568951e+03 1.086391e+04 -7.581741e+03 1.448167e+03
#> 46 47 48 49 50
#> -6.249078e+03 1.063734e+03 6.168723e+02 -3.953719e+02 2.389345e+01
#> 51 52 53 54 55
#> -6.708043e+02 NA 6.551133e+02 -1.928389e+03 -1.448291e+03
#> 56 57 58 59 60
#> -7.658329e+02 -2.005002e+02 -4.365054e+02 -3.289289e+02 2.098819e+02
#> 61 62 63 64 65
#> -2.102198e+02 -8.978475e+02 8.753917e+02 9.948822e+03 -4.733049e+03
#> 66 67 68 69 70
#> 1.658391e+02 -2.312754e+02 2.204881e+03 NA 4.428182e+02
#> 71 72 73 74 75
#> 5.420981e+03 2.319871e+03 -1.184717e+03 1.291653e+02 -4.756884e+01
#> 76 77 78 79 80
#> 3.873429e+03 -3.786932e+03 -2.157447e+03 1.763883e+03 -1.181180e+03
#> 81 82 83 84 85
#> -7.585088e+02 2.198340e+02 -1.546377e+03 -1.165942e+03 2.513476e+02
#> 86 87 88 89 90
#> 3.397564e+03 -1.923116e+02 -1.197712e+03 -7.551696e+02 8.581037e+03
#> 91 92 93 94 95
#> -1.058113e+04 3.870451e+03 6.356108e+02 3.400634e+02 4.968111e+02
#> 96 97 98 99 100
#> 1.488038e+03 2.529631e+02 -8.144027e+02 -2.475266e+02 -1.147880e+03
#> 101 102 103 104 105
#> -7.551392e+02 -3.427080e+02 1.827483e+03 -3.625390e+03 1.126009e+04
#> 106 107 108 109 110
#> -2.721276e+03 -2.715930e+03 1.260999e+02 -5.585782e+02 8.131230e+02
#> 111 112 113 114 115
#> -7.682180e+03 -1.088213e+03 8.745924e+03 -3.857359e+03 -8.667282e+03
#> 116 117 118 119 120
#> -1.171502e+03 -1.844181e+02 1.024293e+03 1.174803e+03 -5.541953e+02
#> 121 122 123 124 125
#> -5.212914e+02 -3.937766e+02 -4.178804e+02 -1.054956e+03 -3.579380e+03
#> 126 127 128 129 130
#> 4.139354e+04 6.034304e+03 -9.212673e+02 1.821695e+03 1.844437e+03
#> 131 132 133 134 135
#> 2.232258e+02 1.021076e+02 -1.565319e+03 -9.770215e+02 2.020125e+03
#> 136 137 138 139 140
#> -9.014412e+02 -1.313206e+02 1.766628e+03 -4.917452e+02 7.423224e+02
#> 141 142 143 144 145
#> 1.283526e+03 -1.299898e+03 8.002631e+00 6.754360e+02 1.018703e+03
#> 146 147 148 149 150
#> -1.054771e+03 1.472539e+03 -1.438457e+03 9.654046e+03 1.082352e+03
#> 151 152 153 154 155
#> -1.216993e+03 1.365500e+02 NA -1.752724e+02 -4.330025e+01
#> 156 157 158 159 160
#> 2.224724e+03 3.324640e+03 2.187887e+03 9.627798e+03 8.915899e+03
#> 161 162 163 164 165
#> 4.363396e+03 2.040771e+03 1.291508e+03 -2.296216e+03 8.666327e+02
#> 166 167 168 169 170
#> -8.908882e+01 -4.658269e+02 -4.144837e+01 6.306085e+03 -8.704209e+02
#> 171 172 173 174 175
#> -9.351389e+02 -1.949334e+02 1.241000e+03 -9.460984e+03 -2.888882e+04
#> 176 177 178 179 180
#> 1.141662e+04 -1.216143e+03 3.896628e+03 -5.500888e+02 -6.170443e+03
#> 181 182 183 184 185
#> 9.227634e+02 5.452364e+02 1.995881e+03 1.280568e+04 8.031001e+03
#> 186 187 188 189 190
#> 5.548908e+02 -1.348221e+03 1.101377e+03 2.891500e+03 5.625514e+03
#> 191 192 193 194 195
#> -1.197909e+03 -4.297747e+01 -5.440130e+02 -7.621117e+02 1.942183e+03
#> 196 197 198 199 200
#> -8.257834e+03 -1.082106e+02 1.526060e+02 -4.598818e+05 -6.994341e+02
#> 201 202 203 204 205
#> -1.722088e+02 -3.218168e+03 2.093435e+02 -1.181969e+03 -9.439743e+02
#> 206 207 208 209 210
#> -3.168767e+03 -8.163541e+02 4.334580e+03 -1.347668e+02 5.906706e+02
#> 211 212 213 214 215
#> -1.804423e+02 -7.606710e+02 3.709140e+03 2.718863e+03 1.123592e+02
#> 216 217 218 219 220
#> -4.723503e+02 -4.512382e+03 4.101918e+02 -2.053849e+03 -2.033594e+03
#> 221 222 223 224 225
#> -1.356238e+03 2.704669e+03 -7.027312e+02 -1.462542e+03 -2.276037e+03
#> 226 227 228 229 230
#> 1.189892e+03 5.869309e+02 3.785108e+03 2.889736e+03 5.772776e+02
#> 231 232 233 234 235
#> 6.331957e+02 1.062772e+04 -1.035773e+03 -1.022807e+02 -4.736313e+02
#> 236 237 238 239 240
#> 1.072692e+04 -1.095171e+03 2.066860e+02 1.384309e+03 -1.881519e+03
#> 241 242 243 244 245
#> -9.274930e+02 -9.997379e+02 6.819299e+03 1.012790e+04 -1.159134e+03
#> 246 247 248 249 250
#> -3.617718e+01 -8.549579e+02 NA 1.922407e+03 -1.027861e+03
#> 251 252 253 254 255
#> -5.606167e+02 8.432257e+01 -1.111277e+03 1.237496e+03 -8.320798e+02
#> 256 257 258 259 260
#> 6.789498e+03 1.883097e+02 1.396604e+04 -2.314308e+03 -1.585426e+03
#> 261 262 263 264 265
#> -1.340059e+02 -6.616503e+02 8.351015e+02 3.388661e+03 1.713954e+02
#> 266 267 268 269 270
#> -1.682023e+03 8.682037e+02 2.084475e+03 -3.022860e+02 -1.019523e+03
#> 271 272 273 274 275
#> NA 1.489914e+03 1.958743e+03 -5.615536e+02 -2.311220e+02
#> 276 277 278 279 280
#> -1.546093e+03 4.827141e+02 1.112088e+03 -5.899837e+02 -9.846428e+02
#> 281 282 283 284 285
#> -8.436409e+02 5.216058e+02 -1.527939e+03 8.556589e+02 1.043270e+02
#> 286 287 288 289 290
#> -9.457670e+00 -1.882078e+02 5.162273e+03 3.902254e+03 -9.753557e+02
#> 291 292 293 294 295
#> 7.392328e+01 1.175386e+02 5.129549e+02 -2.352323e+05 1.897560e+03
#> 296 297 298 299 300
#> NA -1.475676e+03 2.422044e+03 3.407164e+03 1.543720e+02
#> 301 302 303 304 305
#> -1.576536e+03 5.266470e+02 -1.205703e+03 -7.932071e+02 -2.270501e+02
#> 306 307 308 309 310
#> 3.527636e+03 3.984867e+02 -1.347005e+03 4.459253e+03 -1.721959e+03
#> 311 312 313 314 315
#> 9.603302e+02 3.444299e+03 7.221855e+03 -4.151014e+02 1.985215e+02
#> 316 317 318 319 320
#> 1.025777e+04 6.341093e+02 2.648528e+03 -5.541551e+03 5.805605e+03
#> 321 322 323 324 325
#> 2.926798e+03 1.548585e+04 -1.084248e+03 3.868489e+01 1.928907e+04
#> 326 327 328 329 330
#> -1.290027e+03 -5.873582e+02 -9.029836e+02 -9.937940e+02 5.251272e+02
#> 331 332 333 334 335
#> -4.158642e+02 -7.781726e+02 2.216138e+03 -8.403296e+02 -9.852531e+02
#> 336 337 338 339 340
#> -6.546210e+02 -4.072972e+02 3.801469e+03 -9.910925e+02 -7.303791e+02
#> 341 342 343 344 345
#> -1.866221e+03 3.723954e+03 7.708773e+03 -8.762666e+02 2.585554e+02
#> 346 347 348 349 350
#> 2.888624e+03 NA NA NA 2.957127e+03
#> 351 352 353 354 355
#> -4.087684e+02 4.855518e+03 -8.528383e+02 2.573207e+02 NA
#> 356 357 358 359 360
#> -5.826468e+02 3.184592e+02 1.034901e+04 NA NA
#> 361 362 363 364 365
#> -8.285798e+02 1.118756e+02 -2.271298e+02 -8.049819e+02 NA
#> 366 367 368 369 370
#> 5.447671e+03 NA 1.269064e+03 NA NA
#> 371 372 373 374 375
#> 5.421774e+02 NA NA NA -7.057970e+02
#> 376 377 378 379 380
#> -7.620209e+02 -7.052446e+02 -1.320273e+03 9.261198e+01 2.574137e+03
#> 381 382 383 384 385
#> NA 6.449097e+02 6.608305e+03 1.619064e+03 -8.095212e+02
#> 386 387 388 389 390
#> -2.448537e+04 6.560936e+03 2.956983e+03 9.368575e+02 3.101758e+01
#> 391 392 393 394 395
#> -8.217429e+02 -8.077364e+02 NA 2.623911e+03 3.533611e+03
#> 396 397 398 399 400
#> NA -6.768370e+02 -8.894899e+02 -7.855120e+02 -5.579518e+02
#> 401 402 403 404 405
#> -1.652779e+03 -1.019580e+03 -1.628901e+01 -5.318622e+02 1.223664e+02
#> 406 407 408 409 410
#> -3.958587e+02 -5.050252e+02 -5.753652e+02 -8.371899e+02 7.391924e+03
#> 411 412 413 414 415
#> 7.454933e+01 1.485496e+04 5.703989e+02 7.544851e+03 -7.916009e+02
#> 416 417 418 419 420
#> -7.832762e+02 -2.707029e+02 -1.765845e+02 1.544159e+03 -1.352035e+03
#> 421 422 423 424 425
#> 2.959805e+03 8.233464e+02 7.545969e+02 2.547450e+02 NA
#> 426 427 428
#> NA NA 1.613926e+04
#>
#> $sigmaHat
#> [1] 27.14644
#>
#> $seEstimate
#> [1] 141.0586
#>
#> $seRobust
#> [1] 19229.45
#>
#> $iter
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [38] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [149] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [260] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1
#> [297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 1 1
#> [371] 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0
#>
# Direct imputation of x
LmImpute(w, "I(y-x)~0",weights = "1/x",
BackTransform = function(y){return(y+dynGet("data")$x)},
limitModel = Inf, limitIterate = Inf, limitImpute = Inf,
returnYHat = TRUE)
#> $category123
#> [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1
#> [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [149] 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [260] 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3
#> [297] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [334] 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1 1 1 1 1 3 1 1 1 3 3 1 1 1 1 3 1 3 1 3 3
#> [371] 1 3 3 3 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 3 1 1 3 1 1 1 1 1 1 1 1 1 1 1
#> [408] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 1
#>
#> $N
#> [1] 428
#>
#> $yHat
#> 1 2 3 4 5 6 7 8 9 10 11
#> 30544 32182 54678 78967 4511 1404 3610 672 5343 5736 15615
#> 12 13 14 15 16 17 18 19 20 21 22
#> 11396 3742 8084 7357 15458 5186 5382 16732 30261 18992 15695
#> 23 24 25 26 27 28 29 30 31 32 33
#> 18623 26792 122348 60106 15914 17443 11374 17426 10870 36368 52522
#> 34 35 36 37 38 39 40 41 42 43 44
#> 22857 6323 34189 20783 23811 12267 2837 658390 17835 30120 33597
#> 45 46 47 48 49 50 51 52 53 54 55
#> 7588 20119 5131 7901 6142 4763 7456 3760 21030 6525 4429
#> 56 57 58 59 60 61 62 63 64 65 66
#> 2600 1881 1305 1620 5580 2426 1592 1956 27476 30137 2701
#> 67 68 69 70 71 72 73 74 75 76 77
#> 2055 2204 2347 3664 5741 5935 3154 4462 5072 6227 14906
#> 78 79 80 81 82 83 84 85 86 87 88
#> 13180 6629 9044 13695 5758 6751 3058 1321 6458 2168 3220
#> 89 90 91 92 93 94 95 96 97 98 99
#> 1590 67895 27013 29801 6767 1074 3422 4578 2422 4711 4497
#> 100 101 102 103 104 105 106 107 108 109 110
#> 3512 2275 13794 18205 24431 25731 21492 9413 2699 1404 2548
#> 111 112 113 114 115 116 117 118 119 120 121
#> 27178 10741 42276 45820 43867 6604 9297 3163 9361 5937 11657
#> 122 123 124 125 126 127 128 129 130 131 132
#> 21621 4971 2474 35955 53952 12717 2335 14088 10607 4136 6534
#> 133 134 135 136 137 138 139 140 141 142 143
#> 6101 4338 5940 1613 2991 2448 1443 1323 2246 3727 6920
#> 144 145 146 147 148 149 150 151 152 153 154
#> 22550 44313 2473 2036 6014 5618 10577 5147 1847 1317 3582
#> 155 156 157 158 159 160 161 162 163 164 165
#> 1204 1242 945 88447 15529 9705 9096 14308 6419 11260 2290
#> 166 167 168 169 170 171 172 173 174 175 176
#> 942 1750 4943 8497 1702 5981 1832 14942 74820 132644 36951
#> 177 178 179 180 181 182 183 184 185 186 187
#> 3313 3243 2825 18591 18970 18572 11853 26096 10737 1238 12464
#> 188 189 190 191 192 193 194 195 196 197 198
#> 2737 3903 4710 3221 4856 524 865 10925 42187 200 8788
#> 199 200 201 202 203 204 205 206 207 208 209
#> 277391 4106 5593 11778 18775 3140 2797 13271 1104 6930 3401
#> 210 211 212 213 214 215 216 217 218 219 220
#> 925 1116 920 14425 8475 3876 2443 19742 5118 6975 24870
#> 221 222 223 224 225 226 227 228 229 230 231
#> 28380 4125 381 7957 7812 4852 5077 15607 2858 576 1701
#> 232 233 234 235 236 237 238 239 240 241 242
#> 11923 2370 785 1395 4161 2689 1294 2298 7839 1764 2172
#> 243 244 245 246 247 248 249 250 251 252 253
#> 5359 5093 3023 2830 2942 3020 12900 2840 3846 6046 2774
#> 254 255 256 257 258 259 260 261 262 263 264
#> 6015 1200 5784 7168 26732 46747 24526 3256 2559 8972 8430
#> 265 266 267 268 269 270 271 272 273 274 275
#> 5189 9037 10677 2310 1652 4598 1020 7675 4620 8952 8094
#> 276 277 278 279 280 281 282 283 284 285 286
#> 9200 6611 7492 2970 2088 1270 3518 9717 3467 5826 2593
#> 287 288 289 290 291 292 293 294 295 296 297
#> 3103 7160 5969 2036 1547 2141 3536 187353 4260 978 4622
#> 298 299 300 301 302 303 304 305 306 307 308
#> 4799 5209 1733 6644 4779 3272 961 976 6886 2562 3954
#> 309 310 311 312 313 314 315 316 317 318 319
#> 11779 5635 2031 6298 16096 7755 6067 13738 4132 851 21781
#> 320 321 322 323 324 325 326 327 328 329 330
#> 13010 2523 23308 2631 3531 19610 14885 2527 1622 2139 1375
#> 331 332 333 334 335 336 337 338 339 340 341
#> 469 867 2466 1250 3825 633 1103 4387 5126 562 6769
#> 342 343 344 345 346 347 348 349 350 351 352
#> 50488 18787 1465 2031 7962 1244 507 1743 7437 2216 13427
#> 353 354 355 356 357 358 359 360 361 362 363
#> 1462 1465 1402 1838 4486 26039 1923 478 1268 6471 2043
#> 364 365 366 367 368 369 370 371 372 373 374
#> 1034 4700 9604 1963 2543 1824 1974 2144 1283 1400 2556
#> 375 376 377 378 379 380 381 382 383 384 385
#> 551 765 1336 11198 9350 8082 2632 4529 10214 4980 1062
#> 386 387 388 389 390 391 392 393 394 395 396
#> 73480 24695 3029 3041 1403 1137 1051 4019 2230 6741 3452
#> 397 398 399 400 401 402 403 404 405 406 407
#> 1158 1543 913 915 11618 5701 2282 2861 1865 2150 2920
#> 408 409 410 411 412 413 414 415 416 417 418
#> 4895 1231 2137 6160 10455 2956 20097 951 1054 1035 1215
#> 419 420 421 422 423 424 425 426 427 428
#> 3276 3978 2668 1318 1139 1000 2922 959 2211 10227
#>
#> $yImputed
#> 1 2 3 4 5 6 7 8 9 10 11
#> 2792 11319 32854 42362 3278 853 1531 103 2226 2512 6721
#> 12 13 14 15 16 17 18 19 20 21 22
#> 10538 0 474 1507 5491 331 811 9867 22914 9635 7751
#> 23 24 25 26 27 28 29 30 31 32 33
#> 10648 14146 97383 53067 0 4400 1353 11010 2809 23871 41227
#> 34 35 36 37 38 39 40 41 42 43 44
#> 9878 400 23717 112 13445 4830 1245 455113 10354 23153 7146
#> 45 46 47 48 49 50 51 52 53 54 55
#> 3649 616 2657 2904 1440 1537 1500 3760 7919 10 0
#> 56 57 58 59 60 61 62 63 64 65 66
#> 309 742 409 569 1909 830 0 1828 20635 7666 1256
#> 67 68 69 70 71 72 73 74 75 76 77
#> 742 3199 2347 1721 7149 4099 0 1576 1535 5721 824
#> 78 79 80 81 82 83 84 85 86 87 88
#> 1803 3715 1433 3384 1961 445 0 1097 5303 801 0
#> 89 90 91 92 93 94 95 96 97 98 99
#> 140 56116 0 15997 2624 1145 1726 2957 1291 690 1208
#> 100 101 102 103 104 105 106 107 108 109 110
#> 106 260 3835 7781 5406 20942 4783 16 1216 304 1873
#> 111 112 113 114 115 116 117 118 119 120 121
#> 2934 2043 29885 20503 14068 781 2501 2201 3876 1232 2907
#> 122 123 124 125 126 127 128 129 130 131 132
#> 7164 1143 0 12781 72675 9812 106 6103 4926 1600 2033
#> 133 134 135 136 137 138 139 140 141 142 143
#> 265 447 3801 0 1015 2806 377 1587 2287 0 2037
#> 144 145 146 147 148 149 150 151 152 153 154
#> 8696 23978 0 2438 370 11348 4156 387 1072 1317 1088
#> 155 156 157 158 159 160 161 162 163 164 165
#> 784 3053 4103 78937 14448 11708 6981 6404 3191 1007 1879
#> 166 167 168 169 170 171 172 173 174 175 176
#> 696 455 1512 8749 45 863 739 5848 47888 138672 28370
#> 177 178 179 180 181 182 183 184 185 186 187
#> 0 5084 566 0 7220 6665 5484 22687 11144 1386 2357
#> 188 189 190 191 192 193 194 195 196 197 198
#> 2196 4214 7117 0 1491 178 15 5125 13044 563 2689
#> 199 200 201 202 203 204 205 206 207 208 209
#> 205308 674 1531 262 6421 0 169 829 0 6358 1092
#> 210 211 212 213 214 215 216 217 218 219 220
#> 1371 633 25 8113 5161 1435 572 2162 2002 0 7228
#> 221 222 223 224 225 226 227 228 229 230 231
#> 9927 4074 0 846 0 2720 2169 8647 4004 1303 1542
#> 232 233 234 235 236 237 238 239 240 241 242
#> 14126 0 658 387 12094 0 1048 2397 397 0 0
#> 243 244 245 246 247 248 249 250 251 252 253
#> 8456 11700 0 1079 285 3020 5772 94 758 1895 0
#> 254 255 256 257 258 259 260 261 262 263 264
#> 3038 0 8526 2281 24205 22851 7486 1064 405 3423 5817
#> 265 266 267 268 269 270 271 272 273 274 275
#> 1780 932 3974 3098 601 461 1020 3714 3436 2024 2111
#> 276 277 278 279 280 281 282 283 284 285 286
#> 1115 2432 3288 554 0 0 1770 1287 2093 1862 1061
#> 287 288 289 290 291 292 293 294 295 296 297
#> 980 7244 5687 0 958 1105 1765 77340 3297 978 14
#> 298 299 300 301 302 303 304 305 306 307 308
#> 3938 5014 1070 388 2042 2 0 564 5541 1462 0
#> 309 310 311 312 313 314 315 316 317 318 319
#> 7918 0 1926 5310 12273 1835 2014 14395 2009 3413 2123
#> 320 321 322 323 324 325 326 327 328 329 330
#> 9687 3978 23850 0 1291 25837 3302 473 0 0 1379
#> 331 332 333 334 335 336 337 338 339 340 341
#> 297 0 3258 0 331 85 405 5225 607 0 132
#> 342 343 344 345 346 347 348 349 350 351 352
#> 32268 13906 0 1226 5188 1244 507 1743 5115 594 8888
#> 353 354 355 356 357 358 359 360 361 362 363
#> 22 1127 1402 354 1770 20207 1923 478 14 2027 744
#> 364 365 366 367 368 369 370 371 372 373 374
#> 0 4700 8214 1963 2327 1824 1974 1529 1283 1400 2556
#> 375 376 377 378 379 380 381 382 383 384 385
#> 22 0 147 1959 2793 4907 2632 2105 9559 3177 0
#> 386 387 388 389 390 391 392 393 394 395 396
#> 31866 15689 4104 2090 891 0 0 4019 3622 5510 3452
#> 397 398 399 400 401 402 403 404 405 406 407
#> 146 0 0 225 1766 712 997 591 1061 595 629
#> 408 409 410 411 412 413 414 415 416 417 418
#> 969 0 8367 1913 17871 1708 14343 0 24 530 653
#> 419 420 421 422 423 424 425 426 427 428
#> 2742 0 4038 1667 1569 1048 2922 959 2211 19083
#>
#> $nImputed
#> [1] 25
#>
#> $estimate
#> [1] 3000491
#>
#> $cv
#> [1] 0.469567
#>
#> $estimateYHat
#> [1] 5213985
#>
#> $estimateOrig
#> [1] 2948857
#>
#> $coef
#> numeric(0)
#>
#> $nModel
#> [1] 403
#>
#> $rStud
#> [1] -2.560998384 -1.875634515 -1.505240919 -2.100852514 -0.296076976
#> [6] -0.237162499 -0.558057387 -0.354001908 -0.687736681 -0.686544093
#> [11] -1.147900127 -0.129625081 -0.986574451 -1.365052886 -1.099976637
#> [16] -1.292902514 -1.087303913 -1.004887277 -0.855942492 -0.681155669
#> [21] -1.095038155 -1.022672431 -0.942505391 -1.246030243 -1.151094838
#> [26] -0.463052278 -2.034546639 -1.592739963 -1.515417937 -0.783868971
#> [31] -1.246958851 -1.056875995 -0.794865378 -1.384553020 -1.201318361
#> [36] -0.913407151 -2.312519168 -1.083428760 -1.082945428 -0.482049202
#> [41] -4.040402236 -0.903443653 -0.647435188 -2.327393510 -0.729290057
#> [46] -2.217564183 -0.557027532 -0.906663832 -0.967621906 -0.753879694
#> [51] -1.112447982 NA -1.458122979 -1.300774861 -1.073323933
#> [56] -0.724630131 -0.423552549 -0.400019099 -0.421136789 -0.792583922
#> [61] -0.522595255 -0.643501413 -0.046677063 -0.665611489 -2.087614784
#> [66] -0.448418507 -0.467128953 0.341818260 NA -0.517693892
#> [71] 0.299700077 -0.384361862 -0.905750990 -0.696802206 -0.800983206
#> [76] -0.103416315 -1.860209057 -1.598262192 -0.577222845 -1.290741929
#> [81] -1.421011988 -0.807017105 -1.237792610 -0.891860056 -0.099397299
#> [86] -0.231798669 -0.473496582 -0.915178711 -0.586472177 -0.729067097
#> [91] -2.650723220 -1.289637060 -0.812259535 0.034940908 -0.467588497
#> [96] -0.386387523 -0.370641042 -0.944833959 -0.791007138 -0.926926638
#> [101] -0.681337548 -1.367566944 -1.245997108 -1.963052962 -0.481497989
#> [106] -1.838188379 -1.562079635 -0.460381307 -0.473464154 -0.215666174
#> [111] -2.371775078 -1.353552228 -0.971935367 -1.907491768 -2.294619585
#> [116] -1.155636448 -1.136736821 -0.275869348 -0.914310027 -0.984813688
#> [121] -1.307051283 -1.585689921 -0.875644896 -0.802191066 -1.971057661
#> [126] 1.300018810 -0.415462447 -0.743951458 -1.084996212 -0.889623974
#> [131] -0.635970480 -0.898043598 -1.205015807 -0.952783944 -0.447605625
#> [136] -0.647731707 -0.582715683 0.116695818 -0.452586934 0.117058237
#> [141] 0.013952658 -0.984595099 -0.946698415 -1.487921034 -1.557960970
#> [146] -0.802028925 0.143686226 -1.173770705 1.232939390 -1.006930256
#> [151] -1.070059290 -0.290834704 NA -0.672065546 -0.195215375
#> [156] 0.828773060 1.656815674 -0.515723518 -0.139904577 0.327914901
#> [161] -0.357654027 -1.065701161 -0.649797164 -1.558331090 -0.138516674
#> [166] -0.129266988 -0.499262236 -0.787051926 0.044090569 -0.647769810
#> [171] -1.067311904 -0.411846520 -1.199854423 -1.587953303 0.266936162
#> [176] -0.719950731 -0.928300728 0.521384706 -0.685464516 -2.199020857
#> [181] -1.375885121 -1.409129767 -0.943485173 -0.340343925 0.063347708
#> [186] 0.067838989 -1.460062742 -0.166777646 0.080285864 0.565644554
#> [191] -0.915320808 -0.778795983 -0.243774586 -0.466110456 -0.894942729
#> [196] -2.288352413 0.413970697 -1.049280453 -2.207316670 -0.863805132
#> [201] -0.875982606 -1.711369762 -1.454104429 -0.903738527 -0.801414325
#> [206] -1.741872431 -0.535873782 -0.110817254 -0.638555412 0.236505892
#> [211] -0.233180917 -0.475890565 -0.847592397 -0.580578065 -0.632344679
#> [216] -0.610506127 -2.017907572 -0.702465956 -1.346945672 -1.804213376
#> [221] -1.766602169 -0.012806669 -0.314804159 -1.285683211 -1.425473311
#> [226] -0.493633673 -0.658216544 -0.898519481 0.345725552 0.488541141
#> [231] -0.062176023 0.325386626 -0.785149116 -0.073104964 -0.435262650
#> [236] 1.983428592 -0.836321717 -0.110292490 0.033307202 -1.355617937
#> [241] -0.677372036 -0.751636538 0.682303030 1.493122506 -0.886741526
#> [246] -0.530848875 -0.790038386 NA -1.012163819 -0.831035040
#> [251] -0.803064864 -0.860987081 -0.849437053 -0.619068907 -0.558687039
#> [256] 0.581475313 -0.930939191 -0.249268551 -1.782486750 -1.754826570
#> [261] -0.619549948 -0.686733967 -0.944817797 -0.458990393 -0.763243543
#> [266] -1.375051142 -1.046218924 0.264422374 -0.417038037 -0.983963550
#> [271] NA -0.729194902 -0.280936836 -1.180934514 -1.072544638
#> [276] -1.359452644 -0.828927916 -0.783324655 -0.714984585 -0.736958819
#> [281] -0.574751130 -0.475304016 -1.379238738 -0.376346416 -0.837580155
#> [286] -0.485216410 -0.614663012 0.016010347 -0.058867595 -0.727724271
#> [291] -0.241517226 -0.361101585 -0.480330767 -4.099129654 -0.237957535
#> [296] NA -1.093139211 -0.200449856 -0.043574800 -0.256857482
#> [301] -1.237826857 -0.638534335 -0.921974858 -0.499965074 -0.212691572
#> [306] -0.261406720 -0.350494410 -1.014136247 -0.573751143 -1.210667637
#> [311] -0.037576153 -0.200786075 -0.485985475 -1.084198442 -0.839204066
#> [316] 0.090402739 -0.532657211 1.416420874 -2.148218223 -0.469861289
#> [321] 0.467177955 0.057256494 -0.827253088 -0.607962977 0.717163275
#> [326] -1.531174226 -0.658985398 -0.649536257 -0.745904737 0.001739749
#> [331] -0.128091408 -0.474883983 0.257221116 -0.570207571 -0.911140086
#> [336] -0.351282631 -0.338957806 0.204050740 -1.017960704 -0.382336826
#> [341] -1.301030667 -1.307772685 -0.574325452 -0.617300723 -0.288083836
#> [346] -0.501387316 NA NA NA -0.434251470
#> [351] -0.555704540 -0.631754962 -0.607388799 -0.142421600 NA
#> [356] -0.558263354 -0.654000536 -0.582885615 NA NA
#> [361] -0.567957557 -0.890976652 -0.463503418 -0.518606842 NA
#> [366] -0.228752947 NA -0.069080989 NA NA
#> [371] -0.214210472 NA NA NA -0.363461024
#> [376] -0.446075828 -0.524634201 -1.408097439 -1.093647467 -0.569589900
#> [381] NA -0.580910770 -0.104525282 -0.412058643 -0.525581695
#> [386] -2.475898645 -0.924283926 0.315019038 -0.278131565 -0.220454566
#> [391] -0.543823794 -0.522852671 NA 0.475406129 -0.241809780
#> [396] NA -0.479627644 -0.633520884 -0.487319020 -0.367888758
#> [401] -1.474133074 -1.065653355 -0.433833696 -0.684455002 -0.300258011
#> [406] -0.540865321 -0.683772510 -0.905006962 -0.565857400 2.173520590
#> [411] -0.872709851 1.169730127 -0.370203349 -0.654609365 -0.497356996
#> [416] -0.511675818 -0.253162384 -0.260031613 -0.150469086 -1.017209395
#> [421] 0.427765374 0.155040691 0.205487102 0.024480439 NA
#> [426] NA NA 1.412347134
#>
#> $dffits
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [19] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0
#> [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 0
#> [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [91] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [109] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [127] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [145] 0 0 0 0 0 0 0 0 NaN 0 0 0 0 0 0 0 0 0
#> [163] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [181] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [199] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [235] 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 0 0
#> [253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [271] NaN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [289] 0 0 0 0 0 0 0 NaN 0 0 0 0 0 0 0 0 0 0
#> [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [343] 0 0 0 0 NaN NaN NaN 0 0 0 0 0 NaN 0 0 0 NaN NaN
#> [361] 0 0 0 0 NaN 0 NaN 0 NaN NaN 0 NaN NaN NaN 0 0 0 0
#> [379] 0 0 NaN 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 NaN
#> [397] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [415] 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN 0
#>
#> $hii
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [19] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [37] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0
#> [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 0
#> [73] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [91] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [109] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [127] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [145] 0 0 0 0 0 0 0 0 NaN 0 0 0 0 0 0 0 0 0
#> [163] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [181] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [199] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [235] 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 0 0
#> [253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [271] NaN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [289] 0 0 0 0 0 0 0 NaN 0 0 0 0 0 0 0 0 0 0
#> [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [343] 0 0 0 0 NaN NaN NaN 0 0 0 0 0 NaN 0 0 0 NaN NaN
#> [361] 0 0 0 0 NaN 0 NaN 0 NaN NaN 0 NaN NaN NaN 0 0 0 0
#> [379] 0 0 NaN 0 0 0 0 0 0 0 0 0 0 0 NaN 0 0 NaN
#> [397] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [415] 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN 0
#>
#> $leaveOutResid
#> 1 2 3 4 5 6 7 8 9 10
#> -27752 -20863 -21824 -36605 -1233 -551 -2079 -569 -3117 -3224
#> 11 12 13 14 15 16 17 18 19 20
#> -8894 -858 -3742 -7610 -5850 -9967 -4855 -4571 -6865 -7347
#> 21 22 23 24 25 26 27 28 29 30
#> -9357 -7944 -7975 -12646 -24965 -7039 -15914 -13043 -10021 -6416
#> 31 32 33 34 35 36 37 38 39 40
#> -8061 -12497 -11295 -12979 -5923 -10472 -20671 -10366 -7437 -1592
#> 41 42 43 44 45 46 47 48 49 50
#> -203277 -7481 -6967 -26451 -3939 -19503 -2474 -4997 -4702 -3226
#> 51 52 53 54 55 56 57 58 59 60
#> -5956 NA -13111 -6515 -4429 -2291 -1139 -896 -1051 -3671
#> 61 62 63 64 65 66 67 68 69 70
#> -1596 -1592 -128 -6841 -22471 -1445 -1313 995 NA -1943
#> 71 72 73 74 75 76 77 78 79 80
#> 1408 -1836 -3154 -2886 -3537 -506 -14082 -11377 -2914 -7611
#> 81 82 83 84 85 86 87 88 89 90
#> -10311 -3797 -6306 -3058 -224 -1155 -1367 -3220 -1450 -11779
#> 91 92 93 94 95 96 97 98 99 100
#> -27013 -13804 -4143 71 -1696 -1621 -1131 -4021 -3289 -3406
#> 101 102 103 104 105 106 107 108 109 110
#> -2015 -9959 -10424 -19025 -4789 -16709 -9397 -1483 -1100 -675
#> 111 112 113 114 115 116 117 118 119 120
#> -24244 -8698 -12391 -25317 -29799 -5823 -6796 -962 -5485 -4705
#> 121 122 123 124 125 126 127 128 129 130
#> -8750 -14457 -3828 -2474 -23174 18723 -2905 -2229 -7985 -5681
#> 131 132 133 134 135 136 137 138 139 140
#> -2536 -4501 -5836 -3891 -2139 -1613 -1976 358 -1066 264
#> 141 142 143 144 145 146 147 148 149 150
#> 41 -3727 -4883 -13854 -20335 -2473 402 -5644 5730 -6421
#> 151 152 153 154 155 156 157 158 159 160
#> -4760 -775 NA -2494 -420 1811 3158 -9510 -1081 2003
#> 161 162 163 164 165 166 167 168 169 170
#> -2115 -7904 -3228 -10253 -411 -246 -1295 -3431 252 -1657
#> 171 172 173 174 175 176 177 178 179 180
#> -5118 -1093 -9094 -26932 6028 -8581 -3313 1841 -2259 -18591
#> 181 182 183 184 185 186 187 188 189 190
#> -11750 -11907 -6369 -3409 407 148 -10107 -541 311 2407
#> 191 192 193 194 195 196 197 198 199 200
#> -3221 -3365 -346 -850 -5800 -29143 363 -6099 -72083 -3432
#> 201 202 203 204 205 206 207 208 209 210
#> -4062 -11516 -12354 -3140 -2628 -12442 -1104 -572 -2309 446
#> 211 212 213 214 215 216 217 218 219 220
#> -483 -895 -6312 -3314 -2441 -1871 -17580 -3116 -6975 -17642
#> 221 222 223 224 225 226 227 228 229 230
#> -18453 -51 -381 -7111 -7812 -2132 -2908 -6960 1146 727
#> 231 232 233 234 235 236 237 238 239 240
#> -159 2203 -2370 -127 -1008 7933 -2689 -246 99 -7442
#> 241 242 243 244 245 246 247 248 249 250
#> -1764 -2172 3097 6607 -3023 -1751 -2657 NA -7128 -2746
#> 251 252 253 254 255 256 257 258 259 260
#> -3088 -4151 -2774 -2977 -1200 2742 -4887 -2527 -23896 -17040
#> 261 262 263 264 265 266 267 268 269 270
#> -2192 -2154 -5549 -2613 -3409 -8105 -6703 788 -1051 -4137
#> 271 272 273 274 275 276 277 278 279 280
#> NA -3961 -1184 -6928 -5983 -8085 -4179 -4204 -2416 -2088
#> 281 282 283 284 285 286 287 288 289 290
#> -1270 -1748 -8430 -1374 -3964 -1532 -2123 84 -282 -2036
#> 291 292 293 294 295 296 297 298 299 300
#> -589 -1036 -1771 -110013 -963 NA -4608 -861 -195 -663
#> 301 302 303 304 305 306 307 308 309 310
#> -6256 -2737 -3270 -961 -412 -1345 -1100 -3954 -3861 -5635
#> 311 312 313 314 315 316 317 318 319 320
#> -105 -988 -3823 -5920 -4053 657 -2123 2562 -19658 -3323
#> 321 322 323 324 325 326 327 328 329 330
#> 1455 542 -2631 -2240 6227 -11583 -2054 -1622 -2139 4
#> 331 332 333 334 335 336 337 338 339 340
#> -172 -867 792 -1250 -3494 -548 -698 838 -4519 -562
#> 341 342 343 344 345 346 347 348 349 350
#> -6637 -18220 -4881 -1465 -805 -2774 NA NA NA -2322
#> 351 352 353 354 355 356 357 358 359 360
#> -1622 -4539 -1440 -338 NA -1484 -2716 -5832 NA NA
#> 361 362 363 364 365 366 367 368 369 370
#> -1254 -4444 -1299 -1034 NA -1390 NA -216 NA NA
#> 371 372 373 374 375 376 377 378 379 380
#> -615 NA NA NA -529 -765 -1189 -9239 -6557 -3175
#> 381 382 383 384 385 386 387 388 389 390
#> NA -2424 -655 -1803 -1062 -41614 -9006 1075 -951 -512
#> 391 392 393 394 395 396 397 398 399 400
#> -1137 -1051 NA 1392 -1231 NA -1012 -1543 -913 -690
#> 401 402 403 404 405 406 407 408 409 410
#> -9852 -4989 -1285 -2270 -804 -1555 -2291 -3926 -1231 6230
#> 411 412 413 414 415 416 417 418 419 420
#> -4247 7416 -1248 -5754 -951 -1030 -505 -562 -534 -3978
#> 421 422 423 424 425 426 427 428
#> 1370 349 430 48 NA NA NA 8856
#>
#> $sigmaHat
#> [1] 62.00433
#>
#> $seEstimate
#> [1] 14089.32
#>
#> $seRobust
#> [1] 0
#>
#> $iter
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [149] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [260] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 1 1
#> [371] 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0
#>