R Under development (unstable) (2026-01-18 r89306 ucrt) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library( "sampleSelection" ) Loading required package: maxLik Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ > suppressPackageStartupMessages( library( "lmtest" ) ) > data( "Mroz87" ) > options( digits = 3 ) > > ## Greene( 2003 ): example 22.8, page 786 > ## 2-step estimation > Mroz87$kids <- ( Mroz87$kids5 + Mroz87$kids618 > 0 ) > greene <- heckit( lfp ~ age + I( age^2 ) + faminc + kids + educ, + wage ~ exper + I( exper^2 ) + educ + city, Mroz87 ) > print( greene ) Call: heckit(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) Coefficients: S:(Intercept) S:age S:I(age^2) S:faminc S:kidsTRUE -4.16e+00 1.85e-01 -2.43e-03 4.58e-06 -4.49e-01 S:educ O:(Intercept) O:exper O:I(exper^2) O:educ 9.82e-02 -9.71e-01 2.11e-02 1.37e-04 4.17e-01 O:city invMillsRatio sigma rho 4.44e-01 -1.10e+00 3.20e+00 -3.43e-01 > print(summary( greene )) -------------------------------------------- Tobit 2 model (sample selection model) 2-step Heckman / heckit estimation 753 observations (325 censored and 428 observed) 14 free parameters (df = 740) Probit selection equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.16e+00 1.40e+00 -2.96 0.00313 ** age 1.85e-01 6.60e-02 2.81 0.00508 ** I(age^2) -2.43e-03 7.74e-04 -3.14 0.00178 ** faminc 4.58e-06 4.21e-06 1.09 0.27654 kidsTRUE -4.49e-01 1.31e-01 -3.43 0.00064 *** educ 9.82e-02 2.30e-02 4.27 2.2e-05 *** Outcome equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.971200 2.059351 -0.47 0.64 exper 0.021061 0.062465 0.34 0.74 I(exper^2) 0.000137 0.001878 0.07 0.94 educ 0.417017 0.100250 4.16 3.6e-05 *** city 0.443838 0.315898 1.41 0.16 Multiple R-Squared:0.126, Adjusted R-Squared:0.116 Error terms: Estimate Std. Error t value Pr(>|t|) invMillsRatio -1.098 1.266 -0.87 0.39 sigma 3.200 NA NA NA rho -0.343 NA NA NA -------------------------------------------- > print(summary( greene$lm ) ) Call: lm(formula = YO ~ -1 + XO + imrData$IMR1, subset = YS == 1, weights = weightsNoNA) Residuals: Min 1Q Median 3Q Max -5.690 -1.601 -0.496 0.848 21.204 Coefficients: Estimate Std. Error t value Pr(>|t|) XO(Intercept) -0.971200 2.038714 -0.48 0.63 XOexper 0.021061 0.062972 0.33 0.74 XOI(exper^2) 0.000137 0.001893 0.07 0.94 XOeduc 0.417017 0.099003 4.21 3.1e-05 *** XOcity 0.443838 0.317921 1.40 0.16 imrData$IMR1 -1.097619 1.252900 -0.88 0.38 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.11 on 422 degrees of freedom Multiple R-squared: 0.664, Adjusted R-squared: 0.659 F-statistic: 139 on 6 and 422 DF, p-value: <2e-16 > print( summary( greene$probit ) ) -------------------------------------------- Probit binary choice model/Maximum Likelihood estimation Newton-Raphson maximisation, 4 iterations Return code 1: gradient close to zero (gradtol) Log-Likelihood: -491 Model: Y == '1' in contrary to '0' 753 observations (325 'negative' and 428 'positive') and 6 free parameters (df = 747) Estimates: Estimate Std. error t value Pr(> t) XS(Intercept) -4.16e+00 1.40e+00 -2.96 0.0030 ** XSage 1.85e-01 6.60e-02 2.81 0.0049 ** XSI(age^2) -2.43e-03 7.74e-04 -3.14 0.0017 ** XSfaminc 4.58e-06 4.21e-06 1.09 0.2762 XSkidsTRUE -4.49e-01 1.31e-01 -3.43 0.0006 *** XSeduc 9.82e-02 2.30e-02 4.27 1.9e-05 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Significance test: chi2(5) = 48.1 (p=3.47e-09) -------------------------------------------- > print( greene$sigma ) [1] 3.2 > print( greene$rho ) [1] -0.343 > print( coef( greene ) ) S:(Intercept) S:age S:I(age^2) S:faminc S:kidsTRUE -4.16e+00 1.85e-01 -2.43e-03 4.58e-06 -4.49e-01 S:educ O:(Intercept) O:exper O:I(exper^2) O:educ 9.82e-02 -9.71e-01 2.11e-02 1.37e-04 4.17e-01 O:city invMillsRatio sigma rho 4.44e-01 -1.10e+00 3.20e+00 -3.43e-01 > print( coef( greene, part = "outcome" ) ) (Intercept) exper I(exper^2) educ city -0.971200 0.021061 0.000137 0.417017 0.443838 invMillsRatio -1.097619 > print( coef( summary( greene ) ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -4.16e+00 1.40e+00 -2.965 3.13e-03 age 1.85e-01 6.60e-02 2.810 5.08e-03 I(age^2) -2.43e-03 7.74e-04 -3.136 1.78e-03 faminc 4.58e-06 4.21e-06 1.089 2.77e-01 kidsTRUE -4.49e-01 1.31e-01 -3.430 6.38e-04 educ 9.82e-02 2.30e-02 4.272 2.19e-05 (Intercept) -9.71e-01 2.06e+00 -0.472 6.37e-01 exper 2.11e-02 6.25e-02 0.337 7.36e-01 I(exper^2) 1.37e-04 1.88e-03 0.073 9.42e-01 educ 4.17e-01 1.00e-01 4.160 3.56e-05 city 4.44e-01 3.16e-01 1.405 1.60e-01 invMillsRatio -1.10e+00 1.27e+00 -0.867 3.86e-01 sigma 3.20e+00 NA NA NA rho -3.43e-01 NA NA NA > print( coef( summary( greene ), part = "outcome" ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -0.971200 2.05935 -0.472 6.37e-01 exper 0.021061 0.06246 0.337 7.36e-01 I(exper^2) 0.000137 0.00188 0.073 9.42e-01 educ 0.417017 0.10025 4.160 3.56e-05 city 0.443838 0.31590 1.405 1.60e-01 invMillsRatio -1.097619 1.26599 -0.867 3.86e-01 > print( vcov( greene ) ) (Intercept) age I(age^2) faminc kidsTRUE educ (Intercept) 1.97e+00 -8.95e-02 1.02e-03 6.41e-07 1.89e-02 -8.61e-03 age -8.95e-02 4.35e-03 -5.07e-05 -2.51e-08 -2.00e-03 1.24e-04 I(age^2) 1.02e-03 -5.07e-05 5.98e-07 2.48e-10 2.95e-05 -1.24e-06 faminc 6.41e-07 -2.51e-08 2.48e-10 1.77e-11 -4.14e-08 -3.38e-08 kidsTRUE 1.89e-02 -2.00e-03 2.95e-05 -4.14e-08 1.71e-02 -2.44e-05 educ -8.61e-03 1.24e-04 -1.24e-06 -3.38e-08 -2.44e-05 5.28e-04 (Intercept) NA NA NA NA NA NA exper NA NA NA NA NA NA I(exper^2) NA NA NA NA NA NA educ NA NA NA NA NA NA city NA NA NA NA NA NA invMillsRatio NA NA NA NA NA NA sigma NA NA NA NA NA NA rho NA NA NA NA NA NA (Intercept) exper I(exper^2) educ city (Intercept) NA NA NA NA NA age NA NA NA NA NA I(age^2) NA NA NA NA NA faminc NA NA NA NA NA kidsTRUE NA NA NA NA NA educ NA NA NA NA NA (Intercept) 4.2409 -0.043771 1.30e-03 -1.90e-01 -2.75e-02 exper -0.0438 0.003902 -1.12e-04 7.25e-04 -8.61e-04 I(exper^2) 0.0013 -0.000112 3.53e-06 -2.53e-05 2.31e-05 educ -0.1904 0.000725 -2.53e-05 1.00e-02 -2.82e-03 city -0.0275 -0.000861 2.31e-05 -2.82e-03 9.98e-02 invMillsRatio -2.3214 0.016065 -5.60e-04 9.36e-02 7.79e-03 sigma NA NA NA NA NA rho NA NA NA NA NA invMillsRatio sigma rho (Intercept) NA NA NA age NA NA NA I(age^2) NA NA NA faminc NA NA NA kidsTRUE NA NA NA educ NA NA NA (Intercept) -2.32141 NA NA exper 0.01607 NA NA I(exper^2) -0.00056 NA NA educ 0.09358 NA NA city 0.00779 NA NA invMillsRatio 1.60272 NA NA sigma NA NA NA rho NA NA NA > print( vcov( greene, part = "outcome" ) ) (Intercept) exper I(exper^2) educ city (Intercept) 4.2409 -0.043771 1.30e-03 -1.90e-01 -2.75e-02 exper -0.0438 0.003902 -1.12e-04 7.25e-04 -8.61e-04 I(exper^2) 0.0013 -0.000112 3.53e-06 -2.53e-05 2.31e-05 educ -0.1904 0.000725 -2.53e-05 1.00e-02 -2.82e-03 city -0.0275 -0.000861 2.31e-05 -2.82e-03 9.98e-02 invMillsRatio -2.3214 0.016065 -5.60e-04 9.36e-02 7.79e-03 invMillsRatio (Intercept) -2.32141 exper 0.01607 I(exper^2) -0.00056 educ 0.09358 city 0.00779 invMillsRatio 1.60272 > nobs( greene ) [1] 753 > nObs( greene ) [1] 753 > fitted( greene, part = "outcome" ) 1 2 3 4 5 6 7 8 9 10 11 12 13 3.545 3.745 3.630 3.361 4.794 4.479 5.446 4.094 3.725 3.799 3.637 3.139 3.173 14 15 16 17 18 19 20 21 22 23 24 25 26 4.016 2.903 3.439 4.175 3.868 4.494 3.481 5.312 3.702 4.777 3.825 3.719 6.606 27 28 29 30 31 32 33 34 35 36 37 38 39 4.087 3.897 5.768 3.688 4.106 5.512 4.153 3.796 6.259 2.778 4.321 2.927 4.881 40 41 42 43 44 45 46 47 48 49 50 51 52 6.518 3.195 3.796 5.712 3.370 3.312 3.315 5.747 4.018 3.709 3.277 3.945 4.194 53 54 55 56 57 58 59 60 61 62 63 64 65 3.631 2.154 3.167 5.997 5.553 6.539 5.484 3.849 4.749 3.934 2.188 4.230 3.976 66 67 68 69 70 71 72 73 74 75 76 77 78 1.926 5.903 4.217 3.949 3.601 4.244 4.069 2.637 2.976 3.932 4.038 3.271 6.750 79 80 81 82 83 84 85 86 87 88 89 90 91 5.299 3.570 1.404 4.499 3.742 4.642 2.552 6.515 4.727 2.605 5.343 3.579 4.084 92 93 94 95 96 97 98 99 100 101 102 103 104 3.937 4.084 3.743 3.509 3.740 4.277 4.234 3.602 3.811 3.757 3.638 3.829 5.910 105 106 107 108 109 110 111 112 113 114 115 116 117 3.474 4.313 3.444 3.825 4.150 3.816 6.187 5.256 5.894 6.486 4.095 3.829 4.579 118 119 120 121 122 123 124 125 126 127 128 129 130 3.897 6.276 3.148 4.304 3.624 3.321 5.433 6.437 3.673 5.676 3.587 5.069 1.499 131 132 133 134 135 136 137 138 139 140 141 142 143 3.205 3.137 3.937 4.445 3.240 3.705 3.899 5.120 3.764 4.357 4.257 6.935 5.230 144 145 146 147 148 149 150 151 152 153 154 155 156 3.682 2.504 3.821 3.887 4.103 4.814 6.051 5.994 5.384 3.872 5.729 6.402 6.250 157 158 159 160 161 162 163 164 165 166 167 168 169 3.285 6.451 4.260 3.963 3.687 5.869 5.123 5.475 4.466 2.378 6.823 5.271 3.821 170 171 172 173 174 175 176 177 178 179 180 181 182 3.716 2.827 3.845 3.863 3.320 3.973 0.711 5.898 3.492 3.264 3.882 4.905 3.479 183 184 185 186 187 188 189 190 191 192 193 194 195 3.898 4.924 3.796 2.666 6.217 4.272 3.401 4.083 3.633 3.055 3.862 2.516 4.300 196 197 198 199 200 201 202 203 204 205 206 207 208 3.913 3.747 4.108 4.516 5.740 3.999 5.818 6.415 3.521 4.054 2.214 4.029 3.637 209 210 211 212 213 214 215 216 217 218 219 220 221 4.638 3.846 4.374 3.383 3.924 2.140 3.886 5.473 3.816 3.106 4.484 2.316 4.353 222 223 224 225 226 227 228 229 230 231 232 233 234 3.842 3.603 3.545 6.004 6.230 3.888 6.164 4.344 3.350 3.541 1.934 3.454 4.160 235 236 237 238 239 240 241 242 243 244 245 246 247 3.723 3.904 1.622 4.077 6.370 6.585 4.239 4.458 3.940 3.853 3.870 3.360 2.237 248 249 250 251 252 253 254 255 256 257 258 259 260 3.086 3.828 5.788 4.380 1.239 6.148 4.214 3.920 3.677 4.351 3.949 3.317 3.056 261 262 263 264 265 266 267 268 269 270 271 272 273 3.748 6.272 5.471 5.816 2.313 3.265 3.940 3.836 4.806 5.241 5.084 1.764 0.955 274 275 276 277 278 279 280 281 282 283 284 285 286 3.281 3.732 5.268 3.970 3.341 4.466 5.252 6.156 3.884 4.009 4.204 4.871 4.757 287 288 289 290 291 292 293 294 295 296 297 298 299 3.112 4.001 4.223 4.022 4.285 5.120 5.778 3.689 2.310 4.447 4.225 6.074 4.560 300 301 302 303 304 305 306 307 308 309 310 311 312 6.443 4.154 5.938 2.877 5.809 3.437 3.816 3.681 1.752 3.594 3.939 2.893 6.736 313 314 315 316 317 318 319 320 321 322 323 324 325 4.219 4.590 6.516 4.327 3.876 3.322 4.255 3.532 4.254 3.961 1.807 3.200 3.889 326 327 328 329 330 331 332 333 334 335 336 337 338 3.166 3.695 3.386 3.377 6.329 4.108 6.365 3.687 2.548 3.892 3.572 3.805 3.862 339 340 341 342 343 344 345 346 347 348 349 350 351 4.227 3.932 5.742 4.510 4.584 3.556 5.503 6.338 4.527 4.840 3.162 6.552 4.523 352 353 354 355 356 357 358 359 360 361 362 363 364 4.850 3.452 4.068 6.322 5.790 6.322 3.713 2.379 3.578 3.941 5.960 4.866 3.923 365 366 367 368 369 370 371 372 373 374 375 376 377 4.157 2.785 3.475 5.929 6.569 5.813 4.593 3.435 4.875 3.629 2.257 3.405 4.241 378 379 380 381 382 383 384 385 386 387 388 389 390 5.346 3.853 1.619 5.306 4.553 3.892 2.676 3.821 5.959 2.369 3.948 5.134 4.600 391 392 393 394 395 396 397 398 399 400 401 402 403 0.544 5.022 3.605 6.243 5.140 4.343 1.132 5.698 4.905 5.609 4.800 1.368 4.748 404 405 406 407 408 409 410 411 412 413 414 415 416 3.780 4.231 4.225 4.163 3.830 3.993 2.269 3.589 6.294 3.512 4.461 4.744 4.229 417 418 419 420 421 422 423 424 425 426 427 428 429 5.758 1.422 3.780 3.029 3.842 3.879 5.931 2.364 4.283 4.755 4.049 3.778 NA 430 431 432 433 434 435 436 437 438 439 440 441 442 NA NA NA NA NA NA NA NA NA NA NA NA NA 443 444 445 446 447 448 449 450 451 452 453 454 455 NA NA NA NA NA NA NA NA NA NA NA NA NA 456 457 458 459 460 461 462 463 464 465 466 467 468 NA NA NA NA NA NA NA NA NA NA NA NA NA 469 470 471 472 473 474 475 476 477 478 479 480 481 NA NA NA NA NA NA NA NA NA NA NA NA NA 482 483 484 485 486 487 488 489 490 491 492 493 494 NA NA NA NA NA NA NA NA NA NA NA NA NA 495 496 497 498 499 500 501 502 503 504 505 506 507 NA NA NA NA NA NA NA NA NA NA NA NA NA 508 509 510 511 512 513 514 515 516 517 518 519 520 NA NA NA NA NA NA NA NA NA NA NA NA NA 521 522 523 524 525 526 527 528 529 530 531 532 533 NA NA NA NA NA NA NA NA NA NA NA NA NA 534 535 536 537 538 539 540 541 542 543 544 545 546 NA NA NA NA NA NA NA NA NA NA NA NA NA 547 548 549 550 551 552 553 554 555 556 557 558 559 NA NA NA NA NA NA NA NA NA NA NA NA NA 560 561 562 563 564 565 566 567 568 569 570 571 572 NA NA NA NA NA NA NA NA NA NA NA NA NA 573 574 575 576 577 578 579 580 581 582 583 584 585 NA NA NA NA NA NA NA NA NA NA NA NA NA 586 587 588 589 590 591 592 593 594 595 596 597 598 NA NA NA NA NA NA NA NA NA NA NA NA NA 599 600 601 602 603 604 605 606 607 608 609 610 611 NA NA NA NA NA NA NA NA NA NA NA NA NA 612 613 614 615 616 617 618 619 620 621 622 623 624 NA NA NA NA NA NA NA NA NA NA NA NA NA 625 626 627 628 629 630 631 632 633 634 635 636 637 NA NA NA NA NA NA NA NA NA NA NA NA NA 638 639 640 641 642 643 644 645 646 647 648 649 650 NA NA NA NA NA NA NA NA NA NA NA NA NA 651 652 653 654 655 656 657 658 659 660 661 662 663 NA NA NA NA NA NA NA NA NA NA NA NA NA 664 665 666 667 668 669 670 671 672 673 674 675 676 NA NA NA NA NA NA NA NA NA NA NA NA NA 677 678 679 680 681 682 683 684 685 686 687 688 689 NA NA NA NA NA NA NA NA NA NA NA NA NA 690 691 692 693 694 695 696 697 698 699 700 701 702 NA NA NA NA NA NA NA NA NA NA NA NA NA 703 704 705 706 707 708 709 710 711 712 713 714 715 NA NA NA NA NA NA NA NA NA NA NA NA NA 716 717 718 719 720 721 722 723 724 725 726 727 728 NA NA NA NA NA NA NA NA NA NA NA NA NA 729 730 731 732 733 734 735 736 737 738 739 740 741 NA NA NA NA NA NA NA NA NA NA NA NA NA 742 743 744 745 746 747 748 749 750 751 752 753 NA NA NA NA NA NA NA NA NA NA NA NA > fitted( greene, part = "selection" ) 1 2 3 4 5 6 7 8 9 10 11 12 13 0.538 0.520 0.574 0.542 0.622 0.519 0.726 0.518 0.490 0.582 0.578 0.545 0.509 14 15 16 17 18 19 20 21 22 23 24 25 26 0.554 0.503 0.532 0.557 0.580 0.704 0.572 0.730 0.679 0.703 0.694 0.518 0.754 27 28 29 30 31 32 33 34 35 36 37 38 39 0.344 0.556 0.725 0.729 0.563 0.497 0.623 0.430 0.694 0.522 0.695 0.448 0.684 40 41 42 43 44 45 46 47 48 49 50 51 52 0.855 0.509 0.430 0.688 0.493 0.513 0.541 0.652 0.701 0.607 0.493 0.542 0.381 53 54 55 56 57 58 59 60 61 62 63 64 65 0.574 0.404 0.483 0.822 0.589 0.881 0.585 0.568 0.686 0.564 0.504 0.670 0.560 66 67 68 69 70 71 72 73 74 75 76 77 78 0.597 0.705 0.723 0.587 0.422 0.725 0.601 0.282 0.478 0.519 0.493 0.542 0.793 79 80 81 82 83 84 85 86 87 88 89 90 91 0.647 0.411 0.380 0.368 0.453 0.544 0.455 0.560 0.379 0.395 0.689 0.573 0.565 92 93 94 95 96 97 98 99 100 101 102 103 104 0.551 0.580 0.506 0.532 0.531 0.553 0.603 0.689 0.615 0.566 0.594 0.516 0.739 105 106 107 108 109 110 111 112 113 114 115 116 117 0.568 0.597 0.652 0.516 0.558 0.588 0.710 0.573 0.698 0.864 0.587 0.600 0.651 118 119 120 121 122 123 124 125 126 127 128 129 130 0.555 0.847 0.621 0.410 0.698 0.558 0.688 0.849 0.570 0.694 0.548 0.497 0.421 131 132 133 134 135 136 137 138 139 140 141 142 143 0.527 0.488 0.565 0.649 0.507 0.510 0.598 0.657 0.558 0.635 0.398 0.837 0.643 144 145 146 147 148 149 150 151 152 153 154 155 156 0.421 0.447 0.552 0.522 0.607 0.489 0.733 0.762 0.671 0.568 0.670 0.856 0.735 157 158 159 160 161 162 163 164 165 166 167 168 169 0.524 0.847 0.559 0.567 0.531 0.743 0.643 0.698 0.703 0.443 0.853 0.798 0.552 170 171 172 173 174 175 176 177 178 179 180 181 182 0.688 0.526 0.350 0.521 0.638 0.558 0.407 0.718 0.699 0.461 0.519 0.662 0.555 183 184 185 186 187 188 189 190 191 192 193 194 195 0.486 0.673 0.590 0.541 0.866 0.503 0.552 0.669 0.515 0.538 0.548 0.428 0.616 196 197 198 199 200 201 202 203 204 205 206 207 208 0.593 0.583 0.610 0.604 0.748 0.617 0.740 0.850 0.524 0.601 0.422 0.562 0.563 209 210 211 212 213 214 215 216 217 218 219 220 221 0.741 0.753 0.612 0.555 0.572 0.256 0.552 0.801 0.575 0.511 0.697 0.484 0.515 222 223 224 225 226 227 228 229 230 231 232 233 234 0.523 0.690 0.582 0.704 0.751 0.578 0.765 0.594 0.562 0.580 0.409 0.528 0.558 235 236 237 238 239 240 241 242 243 244 245 246 247 0.568 0.588 0.319 0.500 0.780 0.774 0.644 0.599 0.553 0.571 0.526 0.568 0.415 248 249 250 251 252 253 254 255 256 257 258 259 260 0.513 0.599 0.692 0.666 0.347 0.761 0.564 0.570 0.601 0.620 0.374 0.581 0.496 261 262 263 264 265 266 267 268 269 270 271 272 273 0.548 0.720 0.648 0.710 0.274 0.497 0.567 0.574 0.630 0.713 0.555 0.446 0.292 274 275 276 277 278 279 280 281 282 283 284 285 286 0.560 0.756 0.796 0.585 0.583 0.753 0.622 0.665 0.575 0.535 0.715 0.644 0.674 287 288 289 290 291 292 293 294 295 296 297 298 299 0.655 0.545 0.602 0.498 0.720 0.766 0.774 0.616 0.445 0.657 0.603 0.511 0.657 300 301 302 303 304 305 306 307 308 309 310 311 312 0.749 0.698 0.742 0.529 0.690 0.544 0.592 0.542 0.369 0.596 0.595 0.445 0.622 313 314 315 316 317 318 319 320 321 322 323 324 325 0.600 0.549 0.698 0.608 0.678 0.546 0.731 0.501 0.700 0.678 0.433 0.624 0.509 326 327 328 329 330 331 332 333 334 335 336 337 338 0.432 0.441 0.611 0.552 0.770 0.579 0.861 0.439 0.487 0.525 0.540 0.713 0.576 339 340 341 342 343 344 345 346 347 348 349 350 351 0.589 0.462 0.678 0.616 0.631 0.545 0.716 0.818 0.707 0.607 0.265 0.902 0.721 352 353 354 355 356 357 358 359 360 361 362 363 364 0.584 0.569 0.555 0.751 0.723 0.867 0.540 0.406 0.558 0.582 0.693 0.667 0.613 365 366 367 368 369 370 371 372 373 374 375 376 377 0.515 0.415 0.568 0.705 0.796 0.680 0.684 0.559 0.629 0.558 0.451 0.568 0.580 378 379 380 381 382 383 384 385 386 387 388 389 390 0.708 0.598 0.370 0.698 0.643 0.720 0.504 0.563 0.912 0.477 0.543 0.760 0.735 391 392 393 394 395 396 397 398 399 400 401 402 403 0.285 0.676 0.619 0.745 0.670 0.643 0.262 0.850 0.588 0.718 0.654 0.410 0.689 404 405 406 407 408 409 410 411 412 413 414 415 416 0.567 0.574 0.587 0.566 0.584 0.735 0.551 0.564 0.763 0.533 0.665 0.673 0.613 417 418 419 420 421 422 423 424 425 426 427 428 429 0.775 0.416 0.570 0.538 0.469 0.545 0.723 0.499 0.606 0.623 0.574 0.513 0.471 430 431 432 433 434 435 436 437 438 439 440 441 442 0.674 0.522 0.603 0.541 0.563 0.625 0.302 0.408 0.496 0.474 0.539 0.271 0.479 443 444 445 446 447 448 449 450 451 452 453 454 455 0.461 0.537 0.463 0.644 0.624 0.546 0.560 0.697 0.417 0.552 0.781 0.564 0.557 456 457 458 459 460 461 462 463 464 465 466 467 468 0.535 0.313 0.706 0.553 0.522 0.442 0.460 0.538 0.424 0.486 0.697 0.605 0.622 469 470 471 472 473 474 475 476 477 478 479 480 481 0.518 0.504 0.347 0.550 0.538 0.487 0.576 0.641 0.551 0.400 0.553 0.709 0.688 482 483 484 485 486 487 488 489 490 491 492 493 494 0.557 0.630 0.664 0.233 0.625 0.184 0.784 0.608 0.763 0.590 0.737 0.689 0.496 495 496 497 498 499 500 501 502 503 504 505 506 507 0.535 0.555 0.522 0.449 0.623 0.390 0.628 0.841 0.699 0.573 0.579 0.663 0.624 508 509 510 511 512 513 514 515 516 517 518 519 520 0.561 0.574 0.453 0.532 0.580 0.487 0.341 0.498 0.572 0.418 0.591 0.591 0.577 521 522 523 524 525 526 527 528 529 530 531 532 533 0.359 0.567 0.655 0.541 0.425 0.545 0.520 0.567 0.341 0.410 0.285 0.679 0.623 534 535 536 537 538 539 540 541 542 543 544 545 546 0.529 0.730 0.570 0.456 0.313 0.571 0.352 0.354 0.447 0.683 0.468 0.531 0.627 547 548 549 550 551 552 553 554 555 556 557 558 559 0.398 0.552 0.436 0.503 0.465 0.353 0.544 0.626 0.394 0.530 0.638 0.548 0.390 560 561 562 563 564 565 566 567 568 569 570 571 572 0.516 0.336 0.321 0.550 0.491 0.429 0.458 0.281 0.699 0.569 0.528 0.547 0.553 573 574 575 576 577 578 579 580 581 582 583 584 585 0.526 0.755 0.717 0.576 0.521 0.537 0.653 0.490 0.573 0.648 0.439 0.682 0.687 586 587 588 589 590 591 592 593 594 595 596 597 598 0.171 0.557 0.680 0.552 0.588 0.432 0.590 0.427 0.368 0.481 0.334 0.554 0.274 599 600 601 602 603 604 605 606 607 608 609 610 611 0.617 0.428 0.484 0.707 0.562 0.491 0.607 0.495 0.492 0.490 0.531 0.768 0.582 612 613 614 615 616 617 618 619 620 621 622 623 624 0.544 0.519 0.574 0.538 0.451 0.321 0.603 0.549 0.464 0.543 0.524 0.530 0.474 625 626 627 628 629 630 631 632 633 634 635 636 637 0.517 0.641 0.567 0.615 0.420 0.593 0.198 0.415 0.561 0.626 0.519 0.710 0.542 638 639 640 641 642 643 644 645 646 647 648 649 650 0.350 0.517 0.162 0.674 0.589 0.368 0.696 0.611 0.688 0.842 0.642 0.638 0.207 651 652 653 654 655 656 657 658 659 660 661 662 663 0.593 0.521 0.516 0.585 0.579 0.376 0.668 0.334 0.669 0.403 0.445 0.678 0.466 664 665 666 667 668 669 670 671 672 673 674 675 676 0.522 0.609 0.476 0.659 0.504 0.554 0.467 0.502 0.698 0.495 0.452 0.661 0.609 677 678 679 680 681 682 683 684 685 686 687 688 689 0.272 0.634 0.605 0.818 0.390 0.459 0.765 0.519 0.605 0.573 0.635 0.637 0.364 690 691 692 693 694 695 696 697 698 699 700 701 702 0.443 0.568 0.630 0.610 0.661 0.577 0.547 0.610 0.550 0.694 0.547 0.426 0.334 703 704 705 706 707 708 709 710 711 712 713 714 715 0.612 0.531 0.545 0.356 0.438 0.720 0.550 0.547 0.525 0.502 0.522 0.339 0.698 716 717 718 719 720 721 722 723 724 725 726 727 728 0.594 0.583 0.577 0.502 0.387 0.585 0.594 0.658 0.561 0.205 0.219 0.426 0.673 729 730 731 732 733 734 735 736 737 738 739 740 741 0.658 0.605 0.650 0.503 0.368 0.698 0.649 0.521 0.581 0.606 0.652 0.646 0.503 742 743 744 745 746 747 748 749 750 751 752 753 0.587 0.453 0.379 0.501 0.559 0.443 0.551 0.631 0.514 0.710 0.318 0.479 > residuals( greene, part = "outcome" ) 1 2 3 4 5 6 7 8 -1.91e-01 -2.36e+00 9.16e-01 -2.26e+00 -2.02e-01 2.63e-01 2.89e+00 3.75e+00 9 10 11 12 13 14 15 16 -1.60e+00 8.88e-01 4.26e-01 1.45e+00 -1.09e+00 -1.75e+00 7.77e-01 -2.09e+00 17 18 19 20 21 22 23 24 -9.61e-01 1.31e+00 -2.49e+00 4.07e+00 -1.81e+00 -1.31e-01 -1.53e+00 -5.75e-01 25 26 27 28 29 30 31 32 -1.56e+00 -2.82e+00 -8.68e-02 8.30e-01 1.49e+00 2.18e+00 -2.57e+00 -3.05e+00 33 34 35 36 37 38 39 40 1.70e+00 -2.25e-01 -2.45e+00 -3.14e-01 -1.95e+00 1.61e+00 7.37e-01 8.11e+00 41 42 43 44 45 46 47 48 -5.16e-01 1.23e-01 -3.14e+00 1.17e+00 -1.31e+00 1.57e-01 -3.73e+00 5.53e-01 49 50 51 52 53 54 55 56 -1.44e+00 -6.39e-01 -1.66e+00 -3.10e+00 -2.45e+00 -5.54e-01 -1.29e+00 -1.95e+00 57 58 59 60 61 62 63 64 4.08e+00 1.50e+00 -8.85e-01 -1.71e+00 -3.49e-01 -3.99e-01 5.30e-01 2.02e+00 65 66 67 68 69 70 71 72 7.96e+00 1.67e+00 1.04e+00 -1.30e+00 -8.72e-01 1.49e-01 1.48e+00 -3.93e-01 73 74 75 76 77 78 79 80 2.53e+00 5.25e+00 4.05e-01 9.44e-01 -2.91e+00 -3.78e+00 -4.30e+00 -1.01e+00 81 82 83 84 85 86 87 88 -5.44e-01 -3.50e+00 -8.16e-01 -1.10e+00 -9.26e-01 1.82e+00 -1.63e+00 9.46e-02 89 90 91 92 93 94 95 96 -9.10e-02 -2.16e+00 7.15e-01 -2.27e+00 -2.96e+00 -3.24e+00 -2.79e+00 -9.44e-01 97 98 99 100 101 102 103 104 5.82e-01 -2.49e+00 -1.14e+00 -1.39e+00 -2.22e+00 -7.57e-01 -1.42e+00 -6.78e-01 105 106 107 108 109 110 111 112 2.76e-01 -2.92e+00 5.56e-01 -5.94e-01 -7.49e-01 -2.48e+00 3.12e+00 -7.56e-01 113 114 115 116 117 118 119 120 -1.27e+00 -2.53e+00 1.72e+00 -3.33e+00 -4.97e-01 2.10e+00 -2.61e+00 7.13e-01 121 122 123 124 125 126 127 128 -1.54e+00 -6.93e-01 1.07e+00 -1.64e-02 3.42e+00 -3.51e+00 -5.29e+00 4.96e-02 129 130 131 132 133 134 135 136 -2.69e+00 3.17e+00 -1.35e+00 2.06e+00 -6.38e-01 4.09e+00 -1.18e+00 -1.14e+00 137 138 139 140 141 142 143 144 -1.71e+00 1.13e+00 -4.31e-01 8.74e-02 2.38e+00 1.49e+00 -8.35e-01 -1.24e+00 145 146 147 148 149 150 151 152 -1.28e+00 -2.20e+00 -8.87e-01 6.24e-01 -3.68e+00 1.35e+00 -1.53e+00 -2.91e+00 153 154 155 156 157 158 159 160 -1.99e+00 -1.73e+00 1.79e+00 8.47e-01 -1.62e+00 -3.01e+00 -2.56e-02 -1.19e+00 161 162 163 164 165 166 167 168 -1.80e+00 -8.34e-01 -3.87e+00 -2.62e+00 -3.50e-01 -6.00e-01 6.73e+00 -7.08e-01 169 170 171 172 173 174 175 176 -1.69e+00 -7.27e-01 -2.62e-01 1.77e+00 -1.06e+00 -1.71e+00 -1.72e+00 1.32e+00 177 178 179 180 181 182 183 184 -3.66e-01 -1.91e+00 5.24e-01 -8.82e-01 3.75e+00 7.32e-01 7.90e-01 -8.25e-01 185 186 187 188 189 190 191 192 2.12e+01 -3.27e-02 -2.17e-01 1.14e+00 -2.74e+00 -2.83e+00 -1.36e+00 4.07e-01 193 194 195 196 197 198 199 200 3.05e-01 1.95e+00 -2.55e+00 -2.43e-01 2.84e+00 -1.51e+00 3.49e-01 4.67e-02 201 202 203 204 205 206 207 208 5.42e-01 3.69e+00 4.22e+00 -2.41e+00 6.51e-05 4.73e-01 -1.05e+00 -4.64e-01 209 210 211 212 213 214 215 216 -1.09e+00 1.41e+01 -9.57e-01 -4.95e-02 -3.81e-02 1.71e-01 -2.18e+00 -3.36e+00 217 218 219 220 221 222 223 224 6.12e+00 -7.78e-02 -2.62e+00 -2.19e+00 2.28e+00 1.80e+00 -2.00e+00 -8.78e-01 225 226 227 228 229 230 231 232 1.92e+00 -8.90e-01 1.12e-01 -1.19e-01 1.91e+00 -3.74e-01 6.93e-01 1.56e+00 233 234 235 236 237 238 239 240 1.51e+00 -1.39e+00 -6.47e-02 1.49e+00 -9.65e-01 6.92e-01 2.19e+00 3.87e+00 241 242 243 244 245 246 247 248 -1.60e+00 2.39e+00 1.15e+00 -2.89e+00 4.36e-01 3.71e+00 2.88e-01 4.81e+00 249 250 251 252 253 254 255 256 3.21e-01 2.39e+00 5.22e+00 7.77e-01 1.47e+00 -1.02e+00 -2.32e+00 4.22e-01 257 258 259 260 261 262 263 264 -2.87e+00 -3.13e-01 -2.32e+00 -4.52e-01 -2.00e+00 -1.47e+00 5.94e-02 -1.72e+00 265 266 267 268 269 270 271 272 -1.06e+00 -1.60e+00 -1.50e-01 -1.47e+00 5.40e+00 1.58e+00 2.13e+00 6.84e-01 273 274 275 276 277 278 279 280 2.44e-01 -1.64e+00 -1.95e+00 -2.33e+00 9.99e-01 -1.48e+00 3.57e+00 -1.28e+00 281 282 283 284 285 286 287 288 -3.11e+00 -9.77e-01 -9.47e-01 6.93e-01 -8.55e-01 7.98e-01 -1.89e+00 -1.32e+00 289 290 291 292 293 294 295 296 -1.55e+00 5.31e+00 -1.15e+00 -4.58e+00 2.83e+00 -2.02e-02 8.59e-03 -1.56e+00 297 298 299 300 301 302 303 304 -1.06e+00 -2.43e+00 1.69e+00 3.81e+00 -9.44e-01 1.71e+00 -9.04e-01 -1.11e+00 305 306 307 308 309 310 311 312 -1.31e+00 -1.48e+00 -1.29e+00 -4.95e-01 -2.50e+00 -1.89e-01 4.14e-01 -1.60e+00 313 314 315 316 317 318 319 320 2.41e+00 -2.56e-02 5.33e+00 -5.77e-01 4.89e-01 6.11e-01 -9.21e-01 -2.16e-01 321 322 323 324 325 326 327 328 -6.92e-01 -2.36e+00 4.19e-01 1.59e+00 1.92e+00 -8.07e-01 -1.70e+00 -1.49e+00 329 330 331 332 333 334 335 336 1.75e+00 -8.35e-01 2.21e+00 7.78e-01 -1.31e+00 -4.98e-03 -1.71e+00 -9.72e-01 337 338 339 340 341 342 343 344 -7.59e-02 5.13e-01 2.16e-01 3.56e-01 -4.08e+00 -1.25e+00 8.27e-01 -1.35e+00 345 346 347 348 349 350 351 352 -1.44e+00 -5.69e+00 8.56e-01 -4.67e+00 2.03e+01 3.03e+00 -8.28e-01 -2.63e+00 353 354 355 356 357 358 359 360 -1.70e+00 -2.91e+00 6.68e-01 -1.82e+00 1.51e+01 -3.24e+00 -2.28e-01 -1.72e+00 361 362 363 364 365 366 367 368 3.89e-01 2.97e+00 -2.09e+00 -1.27e+00 -1.66e+00 1.55e+01 -2.66e+00 -3.93e+00 369 370 371 372 373 374 375 376 8.82e+00 6.64e-01 3.74e+00 1.12e+00 -2.38e+00 8.51e-01 -2.42e-02 -1.33e+00 377 378 379 380 381 382 383 384 -2.56e+00 -1.94e+00 -1.35e+00 2.34e+00 9.21e-01 -6.24e-01 -9.92e-01 1.41e+00 385 386 387 388 389 390 391 392 -9.71e-01 1.06e+00 5.70e-01 -2.02e+00 1.74e+00 -6.99e-01 1.46e+00 -4.53e-02 393 394 395 396 397 398 399 400 -2.40e+00 1.63e+01 1.73e+00 -7.82e-01 8.47e-01 -3.26e-01 -3.16e+00 -5.14e-01 401 402 403 404 405 406 407 408 -2.30e+00 2.46e+00 -3.75e+00 -7.09e-01 -2.51e+00 -2.04e-01 1.30e+00 2.12e+01 409 410 411 412 413 414 415 416 -1.60e+00 9.44e-01 -2.12e-01 -4.52e+00 -3.48e-01 -1.76e+00 -3.05e+00 -4.02e+00 417 418 419 420 421 422 423 424 1.01e+00 3.19e-01 -1.28e+00 1.46e+00 -1.27e+00 -4.19e-01 -1.15e+00 -5.19e-02 425 426 427 428 429 430 431 432 1.02e+00 1.11e+00 -6.39e-01 3.03e-01 NA NA NA NA 433 434 435 436 437 438 439 440 NA NA NA NA NA NA NA NA 441 442 443 444 445 446 447 448 NA NA NA NA NA NA NA NA 449 450 451 452 453 454 455 456 NA NA NA NA NA NA NA NA 457 458 459 460 461 462 463 464 NA NA NA NA NA NA NA NA 465 466 467 468 469 470 471 472 NA NA NA NA NA NA NA NA 473 474 475 476 477 478 479 480 NA NA NA NA NA NA NA NA 481 482 483 484 485 486 487 488 NA NA NA NA NA NA NA NA 489 490 491 492 493 494 495 496 NA NA NA NA NA NA NA NA 497 498 499 500 501 502 503 504 NA NA NA NA NA NA NA NA 505 506 507 508 509 510 511 512 NA NA NA NA NA NA NA NA 513 514 515 516 517 518 519 520 NA NA NA NA NA NA NA NA 521 522 523 524 525 526 527 528 NA NA NA NA NA NA NA NA 529 530 531 532 533 534 535 536 NA NA NA NA NA NA NA NA 537 538 539 540 541 542 543 544 NA NA NA NA NA NA NA NA 545 546 547 548 549 550 551 552 NA NA NA NA NA NA NA NA 553 554 555 556 557 558 559 560 NA NA NA NA NA NA NA NA 561 562 563 564 565 566 567 568 NA NA NA NA NA NA NA NA 569 570 571 572 573 574 575 576 NA NA NA NA NA NA NA NA 577 578 579 580 581 582 583 584 NA NA NA NA NA NA NA NA 585 586 587 588 589 590 591 592 NA NA NA NA NA NA NA NA 593 594 595 596 597 598 599 600 NA NA NA NA NA NA NA NA 601 602 603 604 605 606 607 608 NA NA NA NA NA NA NA NA 609 610 611 612 613 614 615 616 NA NA NA NA NA NA NA NA 617 618 619 620 621 622 623 624 NA NA NA NA NA NA NA NA 625 626 627 628 629 630 631 632 NA NA NA NA NA NA NA NA 633 634 635 636 637 638 639 640 NA NA NA NA NA NA NA NA 641 642 643 644 645 646 647 648 NA NA NA NA NA NA NA NA 649 650 651 652 653 654 655 656 NA NA NA NA NA NA NA NA 657 658 659 660 661 662 663 664 NA NA NA NA NA NA NA NA 665 666 667 668 669 670 671 672 NA NA NA NA NA NA NA NA 673 674 675 676 677 678 679 680 NA NA NA NA NA NA NA NA 681 682 683 684 685 686 687 688 NA NA NA NA NA NA NA NA 689 690 691 692 693 694 695 696 NA NA NA NA NA NA NA NA 697 698 699 700 701 702 703 704 NA NA NA NA NA NA NA NA 705 706 707 708 709 710 711 712 NA NA NA NA NA NA NA NA 713 714 715 716 717 718 719 720 NA NA NA NA NA NA NA NA 721 722 723 724 725 726 727 728 NA NA NA NA NA NA NA NA 729 730 731 732 733 734 735 736 NA NA NA NA NA NA NA NA 737 738 739 740 741 742 743 744 NA NA NA NA NA NA NA NA 745 746 747 748 749 750 751 752 NA NA NA NA NA NA NA NA 753 NA > all.equal( residuals( greene ), residuals( greene, part = "outcome" ) ) [1] TRUE > residuals( greene, part = "selection" ) 1 2 3 4 5 6 7 8 9 10 11 1.113 1.143 1.054 1.107 0.975 1.145 0.800 1.147 1.194 1.041 1.047 12 13 14 15 16 17 18 19 20 21 22 1.102 1.163 1.087 1.173 1.124 1.081 1.045 0.839 1.056 0.794 0.880 23 24 25 26 27 28 29 30 31 32 33 0.839 0.855 1.147 0.752 1.461 1.084 0.801 0.795 1.072 1.182 0.973 34 35 36 37 38 39 40 41 42 43 44 1.299 0.854 1.141 0.853 1.267 0.871 0.560 1.162 1.299 0.864 1.189 45 46 47 48 49 50 51 52 53 54 55 1.155 1.108 0.925 0.844 1.000 1.189 1.107 1.388 1.053 1.347 1.207 56 57 58 59 60 61 62 63 64 65 66 0.627 1.029 0.502 1.036 1.063 0.868 1.071 1.171 0.895 1.077 1.015 67 68 69 70 71 72 73 74 75 76 77 0.835 0.805 1.032 1.313 0.802 1.009 1.591 1.215 1.145 1.190 1.108 78 79 80 81 82 83 84 85 86 87 88 0.682 0.932 1.333 1.391 1.413 1.258 1.104 1.255 1.076 1.393 1.363 89 90 91 92 93 94 95 96 97 98 99 0.862 1.055 1.069 1.092 1.043 1.167 1.124 1.126 1.088 1.006 0.863 100 101 102 103 104 105 106 107 108 109 110 0.985 1.067 1.020 1.151 0.778 1.063 1.016 0.924 1.150 1.080 1.030 111 112 113 114 115 116 117 118 119 120 121 0.827 1.056 0.847 0.540 1.033 1.011 0.927 1.085 0.577 0.976 1.335 122 123 124 125 126 127 128 129 130 131 132 0.848 1.080 0.865 0.572 1.061 0.855 1.097 1.182 1.316 1.131 1.197 133 134 135 136 137 138 139 140 141 142 143 1.068 0.929 1.165 1.160 1.014 0.917 1.081 0.953 1.357 0.597 0.941 144 145 146 147 148 149 150 151 152 153 154 1.315 1.269 1.091 1.141 0.999 1.196 0.788 0.738 0.894 1.063 0.895 155 156 157 158 159 160 161 162 163 164 165 0.558 0.785 1.137 0.576 1.078 1.066 1.125 0.771 0.940 0.848 0.839 166 167 168 169 170 171 172 173 174 175 176 1.277 0.564 0.671 1.091 0.865 1.134 1.449 1.141 0.947 1.080 1.341 177 178 179 180 181 182 183 184 185 186 187 0.815 0.847 1.245 1.145 0.909 1.085 1.202 0.889 1.028 1.109 0.537 188 189 190 191 192 193 194 195 196 197 198 1.172 1.090 0.896 1.152 1.113 1.096 1.304 0.984 1.022 1.040 0.994 199 200 201 202 203 204 205 206 207 208 209 1.004 0.763 0.982 0.776 0.570 1.137 1.009 1.314 1.074 1.072 0.775 210 211 212 213 214 215 216 217 218 219 220 0.753 0.991 1.085 1.057 1.651 1.090 0.665 1.051 1.159 0.850 1.205 221 222 223 224 225 226 227 228 229 230 231 1.152 1.138 0.862 1.040 0.837 0.757 1.047 0.731 1.021 1.073 1.044 232 233 234 235 236 237 238 239 240 241 242 1.338 1.130 1.080 1.063 1.031 1.512 1.177 0.705 0.716 0.938 1.013 243 244 245 246 247 248 249 250 251 252 253 1.089 1.059 1.134 1.063 1.326 1.156 1.012 0.858 0.902 1.455 0.738 254 255 256 257 258 259 260 261 262 263 264 1.070 1.061 1.009 0.978 1.403 1.042 1.185 1.097 0.811 0.932 0.828 265 266 267 268 269 270 271 272 273 274 275 1.610 1.183 1.065 1.054 0.962 0.823 1.085 1.271 1.568 1.077 0.748 276 277 278 279 280 281 282 283 284 285 286 0.675 1.036 1.038 0.754 0.975 0.903 1.051 1.118 0.819 0.938 0.887 287 288 289 290 291 292 293 294 295 296 297 0.920 1.101 1.007 1.180 0.811 0.730 0.715 0.984 1.273 0.917 1.005 298 299 300 301 302 303 304 305 306 307 308 1.158 0.916 0.760 0.848 0.772 1.129 0.861 1.103 1.024 1.106 1.412 309 310 311 312 313 314 315 316 317 318 319 1.018 1.019 1.272 0.974 1.011 1.095 0.848 0.998 0.882 1.101 0.791 320 321 322 323 324 325 326 327 328 329 330 1.175 0.844 0.882 1.293 0.971 1.162 1.296 1.280 0.993 1.091 0.723 331 332 333 334 335 336 337 338 339 340 341 1.045 0.548 1.283 1.200 1.136 1.111 0.823 1.050 1.030 1.242 0.881 342 343 344 345 346 347 348 349 350 351 352 0.985 0.960 1.102 0.818 0.635 0.833 0.999 1.630 0.455 0.808 1.038 353 354 355 356 357 358 359 360 361 362 363 1.062 1.085 0.757 0.806 0.535 1.110 1.342 1.081 1.041 0.857 0.900 364 365 366 367 368 369 370 371 372 373 374 0.989 1.152 1.327 1.063 0.837 0.675 0.878 0.872 1.079 0.964 1.080 375 376 377 378 379 380 381 382 383 384 385 1.262 1.064 1.044 0.830 1.014 1.410 0.848 0.939 0.811 1.171 1.072 386 387 388 389 390 391 392 393 394 395 396 0.429 1.217 1.105 0.741 0.785 1.585 0.886 0.980 0.768 0.896 0.940 397 398 399 400 401 402 403 404 405 406 407 1.638 0.569 1.031 0.815 0.922 1.335 0.863 1.065 1.053 1.032 1.067 408 409 410 411 412 413 414 415 416 417 418 1.037 0.785 1.091 1.069 0.736 1.121 0.903 0.890 0.990 0.714 1.325 419 420 421 422 423 424 425 426 427 428 429 1.060 1.114 1.231 1.102 0.806 1.180 1.000 0.973 1.054 1.155 -1.129 430 431 432 433 434 435 436 437 438 439 440 -1.498 -1.215 -1.359 -1.247 -1.287 -1.401 -0.848 -1.023 -1.171 -1.133 -1.244 441 442 443 444 445 446 447 448 449 450 451 -0.796 -1.143 -1.112 -1.241 -1.116 -1.437 -1.399 -1.257 -1.282 -1.545 -1.038 452 453 454 455 456 457 458 459 460 461 462 -1.267 -1.743 -1.288 -1.277 -1.237 -0.867 -1.565 -1.269 -1.215 -1.080 -1.110 463 464 465 466 467 468 469 470 471 472 473 -1.242 -1.051 -1.153 -1.545 -1.363 -1.395 -1.208 -1.185 -0.924 -1.264 -1.242 474 475 476 477 478 479 480 481 482 483 484 -1.156 -1.309 -1.432 -1.265 -1.011 -1.268 -1.572 -1.527 -1.276 -1.410 -1.477 485 486 487 488 489 490 491 492 493 494 495 -0.727 -1.400 -0.638 -1.752 -1.369 -1.697 -1.335 -1.635 -1.528 -1.170 -1.238 496 497 498 499 500 501 502 503 504 505 506 -1.273 -1.215 -1.092 -1.396 -0.994 -1.405 -1.919 -1.550 -1.305 -1.315 -1.474 507 508 509 510 511 512 513 514 515 516 517 -1.399 -1.283 -1.306 -1.099 -1.232 -1.318 -1.155 -0.914 -1.174 -1.302 -1.041 518 519 520 521 522 523 524 525 526 527 528 -1.338 -1.337 -1.312 -0.942 -1.293 -1.459 -1.248 -1.053 -1.256 -1.212 -1.294 529 530 531 532 533 534 535 536 537 538 539 -0.913 -1.027 -0.820 -1.507 -1.397 -1.228 -1.618 -1.299 -1.103 -0.867 -1.301 540 541 542 543 544 545 546 547 548 549 550 -0.931 -0.935 -1.088 -1.515 -1.123 -1.231 -1.404 -1.007 -1.268 -1.071 -1.183 551 552 553 554 555 556 557 558 559 560 561 -1.118 -0.934 -1.254 -1.402 -1.001 -1.229 -1.427 -1.260 -0.994 -1.204 -0.905 562 563 564 565 566 567 568 569 570 571 572 -0.881 -1.264 -1.162 -1.059 -1.106 -0.813 -1.551 -1.297 -1.226 -1.259 -1.270 573 574 575 576 577 578 579 580 581 582 583 -1.222 -1.677 -1.589 -1.309 -1.213 -1.240 -1.454 -1.161 -1.305 -1.445 -1.074 584 585 586 587 588 589 590 591 592 593 594 -1.513 -1.523 -0.612 -1.277 -1.509 -1.268 -1.333 -1.064 -1.335 -1.055 -0.958 595 596 597 598 599 600 601 602 603 604 605 -1.145 -0.902 -1.272 -0.800 -1.385 -1.057 -1.151 -1.568 -1.285 -1.162 -1.366 606 607 608 609 610 611 612 613 614 615 616 -1.169 -1.164 -1.161 -1.230 -1.709 -1.321 -1.253 -1.210 -1.307 -1.242 -1.094 617 618 619 620 621 622 623 624 625 626 627 -0.879 -1.360 -1.262 -1.116 -1.251 -1.219 -1.229 -1.133 -1.206 -1.431 -1.294 628 629 630 631 632 633 634 635 636 637 638 -1.381 -1.044 -1.341 -0.664 -1.036 -1.284 -1.402 -1.210 -1.573 -1.250 -0.927 639 640 641 642 643 644 645 646 647 648 649 -1.207 -0.594 -1.497 -1.334 -0.958 -1.542 -1.375 -1.525 -1.921 -1.434 -1.425 650 651 652 653 654 655 656 657 658 659 660 -0.680 -1.340 -1.213 -1.204 -1.326 -1.315 -0.972 -1.484 -0.901 -1.487 -1.016 661 662 663 664 665 666 667 668 669 670 671 -1.086 -1.505 -1.120 -1.214 -1.370 -1.137 -1.466 -1.185 -1.271 -1.121 -1.181 672 673 674 675 676 677 678 679 680 681 682 -1.546 -1.168 -1.097 -1.471 -1.371 -0.797 -1.417 -1.363 -1.847 -0.995 -1.108 683 684 685 686 687 688 689 690 691 692 693 -1.701 -1.210 -1.364 -1.304 -1.420 -1.423 -0.951 -1.083 -1.296 -1.410 -1.373 694 695 696 697 698 699 700 701 702 703 704 -1.472 -1.313 -1.258 -1.372 -1.264 -1.540 -1.259 -1.054 -0.902 -1.376 -1.230 705 706 707 708 709 710 711 712 713 714 715 -1.254 -0.938 -1.074 -1.596 -1.264 -1.258 -1.220 -1.181 -1.216 -0.909 -1.547 716 717 718 719 720 721 722 723 724 725 726 -1.343 -1.323 -1.311 -1.180 -0.989 -1.326 -1.343 -1.465 -1.282 -0.677 -0.703 727 728 729 730 731 732 733 734 735 736 737 -1.054 -1.495 -1.464 -1.363 -1.450 -1.182 -0.959 -1.548 -1.448 -1.213 -1.319 738 739 740 741 742 743 744 745 746 747 748 -1.364 -1.454 -1.442 -1.182 -1.329 -1.099 -0.976 -1.179 -1.280 -1.081 -1.265 749 750 751 752 753 -1.412 -1.201 -1.574 -0.875 -1.143 > all.equal( residuals( greene, part = "selection" ), + residuals( greene, part = "selection", type = "deviance" ) ) [1] TRUE > all.equal( residuals( greene$probit ), + residuals( greene, part = "selection" ) ) [1] TRUE > residuals( greene, part = "selection", type = "pearson" ) 1 2 3 4 5 6 7 8 9 10 11 0.927 0.960 0.862 0.920 0.780 0.962 0.614 0.964 1.020 0.848 0.855 12 13 14 15 16 17 18 19 20 21 22 0.914 0.983 0.897 0.995 0.939 0.891 0.852 0.649 0.864 0.609 0.688 23 24 25 26 27 28 29 30 31 32 33 0.650 0.664 0.964 0.571 1.381 0.894 0.615 0.610 0.881 1.006 0.778 34 35 36 37 38 39 40 41 42 43 44 1.151 0.663 0.958 0.663 1.110 0.679 0.412 0.982 1.151 0.673 1.013 45 46 47 48 49 50 51 52 53 54 55 0.974 0.921 0.731 0.654 0.805 1.014 0.920 1.273 0.861 1.215 1.035 56 57 58 59 60 61 62 63 64 65 66 0.466 0.835 0.367 0.843 0.872 0.677 0.880 0.993 0.702 0.887 0.821 67 68 69 70 71 72 73 74 75 76 77 0.646 0.618 0.839 1.169 0.616 0.815 1.596 1.045 0.962 1.015 0.920 78 79 80 81 82 83 84 85 86 87 88 0.511 0.738 1.197 1.278 1.309 1.098 0.916 1.094 0.886 1.281 1.238 89 90 91 92 93 94 95 96 97 98 99 0.671 0.863 0.878 0.903 0.851 0.987 0.939 0.940 0.899 0.812 0.671 100 101 102 103 104 105 106 107 108 109 110 0.791 0.876 0.826 0.969 0.594 0.872 0.822 0.730 0.968 0.890 0.836 111 112 113 114 115 116 117 118 119 120 121 0.639 0.864 0.657 0.396 0.839 0.816 0.733 0.895 0.426 0.781 1.199 122 123 124 125 126 127 128 129 130 131 132 0.658 0.890 0.674 0.421 0.869 0.665 0.908 1.006 1.173 0.947 1.024 133 134 135 136 137 138 139 140 141 142 143 0.877 0.735 0.985 0.980 0.819 0.722 0.890 0.758 1.230 0.442 0.746 144 145 146 147 148 149 150 151 152 153 154 1.172 1.112 0.901 0.958 0.805 1.022 0.603 0.559 0.701 0.871 0.702 155 156 157 158 159 160 161 162 163 164 165 0.410 0.601 0.953 0.425 0.888 0.874 0.940 0.589 0.745 0.658 0.650 166 167 168 169 170 171 172 173 174 175 176 1.122 0.415 0.502 0.901 0.674 0.950 1.363 0.958 0.753 0.890 1.208 177 178 179 180 181 182 183 184 185 186 187 0.627 0.657 1.082 0.963 0.715 0.896 1.029 0.697 0.834 0.922 0.394 188 189 190 191 192 193 194 195 196 197 198 0.994 0.901 0.703 0.971 0.926 0.907 1.157 0.789 0.829 0.846 0.800 199 200 201 202 203 204 205 206 207 208 209 0.809 0.581 0.787 0.593 0.420 0.953 0.815 1.171 0.883 0.881 0.592 210 211 212 213 214 215 216 217 218 219 220 0.572 0.796 0.895 0.865 1.706 0.901 0.498 0.859 0.979 0.660 1.033 221 222 223 224 225 226 227 228 229 230 231 0.970 0.954 0.670 0.848 0.648 0.576 0.854 0.554 0.827 0.882 0.851 232 233 234 235 236 237 238 239 240 241 242 1.203 0.945 0.890 0.872 0.837 1.462 1.000 0.531 0.540 0.744 0.819 243 244 245 246 247 248 249 250 251 252 253 0.899 0.867 0.949 0.872 1.188 0.975 0.818 0.667 0.709 1.373 0.560 254 255 256 257 258 259 260 261 262 263 264 0.879 0.869 0.815 0.783 1.294 0.849 1.009 0.909 0.624 0.738 0.639 265 266 267 268 269 270 271 272 273 274 275 1.630 1.006 0.874 0.861 0.767 0.635 0.895 1.115 1.556 0.887 0.568 276 277 278 279 280 281 282 283 284 285 286 0.506 0.842 0.845 0.573 0.780 0.710 0.859 0.932 0.632 0.744 0.695 287 288 289 290 291 292 293 294 295 296 297 0.726 0.913 0.813 1.003 0.624 0.553 0.540 0.789 1.117 0.723 0.811 298 299 300 301 302 303 304 305 306 307 308 0.977 0.722 0.578 0.657 0.589 0.944 0.670 0.915 0.830 0.919 1.307 309 310 311 312 313 314 315 316 317 318 319 0.824 0.825 1.116 0.779 0.817 0.907 0.658 0.803 0.689 0.912 0.606 320 321 322 323 324 325 326 327 328 329 330 0.997 0.654 0.689 1.144 0.776 0.982 1.147 1.126 0.799 0.901 0.547 331 332 333 334 335 336 337 338 339 340 341 0.853 0.402 1.130 1.027 0.952 0.923 0.635 0.858 0.836 1.078 0.689 342 343 344 345 346 347 348 349 350 351 352 0.790 0.765 0.914 0.630 0.472 0.644 0.804 1.666 0.330 0.622 0.844 353 354 355 356 357 358 359 360 361 362 363 0.870 0.895 0.576 0.619 0.392 0.923 1.208 0.890 0.848 0.666 0.707 364 365 366 367 368 369 370 371 372 373 374 0.794 0.970 1.188 0.871 0.647 0.506 0.686 0.680 0.889 0.769 0.890 375 376 377 378 379 380 381 382 383 384 385 1.103 0.872 0.851 0.642 0.820 1.304 0.658 0.745 0.624 0.993 0.881 386 387 388 389 390 391 392 393 394 395 396 0.311 1.047 0.917 0.562 0.601 1.586 0.693 0.785 0.585 0.702 0.745 397 398 399 400 401 402 403 404 405 406 407 1.680 0.420 0.838 0.627 0.728 1.198 0.672 0.873 0.861 0.839 0.876 408 409 410 411 412 413 414 415 416 417 418 0.844 0.601 0.902 0.878 0.558 0.935 0.709 0.697 0.795 0.538 1.185 419 420 421 422 423 424 425 426 427 428 429 0.868 0.928 1.065 0.914 0.619 1.003 0.806 0.778 0.862 0.974 -0.945 430 431 432 433 434 435 436 437 438 439 440 -1.439 -1.045 -1.231 -1.085 -1.135 -1.292 -0.658 -0.830 -0.992 -0.949 -1.080 441 442 443 444 445 446 447 448 449 450 451 -0.610 -0.960 -0.925 -1.077 -0.929 -1.344 -1.288 -1.097 -1.129 -1.517 -0.845 452 453 454 455 456 457 458 459 460 461 462 -1.110 -1.889 -1.136 -1.122 -1.072 -0.675 -1.550 -1.112 -1.045 -0.890 -0.922 463 464 465 466 467 468 469 470 471 472 473 -1.078 -0.859 -0.972 -1.516 -1.237 -1.282 -1.036 -1.009 -0.729 -1.106 -1.078 474 475 476 477 478 479 480 481 482 483 484 -0.974 -1.165 -1.338 -1.108 -0.816 -1.111 -1.562 -1.486 -1.121 -1.304 -1.406 485 486 487 488 489 490 491 492 493 494 495 -0.550 -1.290 -0.475 -1.907 -1.246 -1.795 -1.199 -1.675 -1.487 -0.991 -1.073 496 497 498 499 500 501 502 503 504 505 506 -1.117 -1.045 -0.903 -1.285 -0.799 -1.298 -2.303 -1.524 -1.159 -1.172 -1.401 507 508 509 510 511 512 513 514 515 516 517 -1.288 -1.130 -1.161 -0.910 -1.066 -1.176 -0.974 -0.720 -0.995 -1.155 -0.848 518 519 520 521 522 523 524 525 526 527 528 -1.203 -1.202 -1.168 -0.748 -1.143 -1.378 -1.085 -0.860 -1.095 -1.042 -1.144 529 530 531 532 533 534 535 536 537 538 539 -0.720 -0.833 -0.632 -1.454 -1.285 -1.061 -1.644 -1.151 -0.915 -0.676 -1.154 540 541 542 543 544 545 546 547 548 549 550 -0.737 -0.740 -0.899 -1.466 -0.938 -1.064 -1.296 -0.812 -1.111 -0.880 -1.007 551 552 553 554 555 556 557 558 559 560 561 -0.932 -0.739 -1.093 -1.293 -0.807 -1.063 -1.329 -1.100 -0.799 -1.032 -0.711 562 563 564 565 566 567 568 569 570 571 572 -0.688 -1.106 -0.982 -0.867 -0.919 -0.625 -1.526 -1.149 -1.059 -1.099 -1.113 573 574 575 576 577 578 579 580 581 582 583 -1.054 -1.756 -1.592 -1.164 -1.042 -1.076 -1.371 -0.980 -1.159 -1.357 -0.884 584 585 586 587 588 589 590 591 592 593 594 -1.464 -1.480 -0.454 -1.122 -1.457 -1.111 -1.196 -0.873 -1.199 -0.863 -0.763 595 596 597 598 599 600 601 602 603 604 605 -0.963 -0.709 -1.116 -0.614 -1.269 -0.865 -0.969 -1.555 -1.133 -0.982 -1.242 606 607 608 609 610 611 612 613 614 615 616 -0.991 -0.984 -0.980 -1.064 -1.818 -1.180 -1.092 -1.039 -1.161 -1.078 -0.906 617 618 619 620 621 622 623 624 625 626 627 -0.687 -1.233 -1.103 -0.930 -1.090 -1.050 -1.062 -0.949 -1.034 -1.336 -1.144 628 629 630 631 632 633 634 635 636 637 638 -1.263 -0.852 -1.208 -0.497 -0.843 -1.131 -1.293 -1.039 -1.563 -1.088 -0.733 639 640 641 642 643 644 645 646 647 648 649 -1.036 -0.439 -1.438 -1.198 -0.763 -1.512 -1.255 -1.484 -2.307 -1.340 -1.327 650 651 652 653 654 655 656 657 658 659 660 -0.510 -1.206 -1.042 -1.032 -1.187 -1.173 -0.777 -1.417 -0.708 -1.422 -0.822 661 662 663 664 665 666 667 668 669 670 671 -0.896 -1.450 -0.934 -1.044 -1.247 -0.953 -1.389 -1.008 -1.115 -0.935 -1.005 672 673 674 675 676 677 678 679 680 681 682 -1.519 -0.989 -0.909 -1.397 -1.249 -0.611 -1.315 -1.238 -2.122 -0.800 -0.920 683 684 685 686 687 688 689 690 691 692 693 -1.803 -1.039 -1.238 -1.158 -1.319 -1.324 -0.756 -0.893 -1.147 -1.305 -1.251 694 695 696 697 698 699 700 701 702 703 704 -1.398 -1.169 -1.098 -1.250 -1.105 -1.507 -1.100 -0.862 -0.708 -1.256 -1.063 705 706 707 708 709 710 711 712 713 714 715 -1.094 -0.744 -0.883 -1.604 -1.106 -1.098 -1.051 -1.004 -1.046 -0.716 -1.519 716 717 718 719 720 721 722 723 724 725 726 -1.209 -1.183 -1.168 -1.003 -0.794 -1.187 -1.210 -1.387 -1.129 -0.507 -0.530 727 728 729 730 731 732 733 734 735 736 737 -0.861 -1.435 -1.386 -1.238 -1.364 -1.005 -0.764 -1.522 -1.361 -1.043 -1.177 738 739 740 741 742 743 744 745 746 747 748 -1.239 -1.370 -1.352 -1.005 -1.191 -0.911 -0.781 -1.002 -1.126 -0.891 -1.107 749 750 751 752 753 -1.307 -1.028 -1.565 -0.683 -0.960 > all.equal( residuals( greene$probit, type = "pearson" ), + residuals( greene, part = "selection", type = "pearson" ) ) [1] TRUE > residuals( greene, part = "selection", type = "response" ) 1 2 3 4 5 6 7 8 9 10 0.4619 0.4797 0.4263 0.4582 0.3784 0.4808 0.2741 0.4819 0.5098 0.4182 11 12 13 14 15 16 17 18 19 20 0.4221 0.4550 0.4912 0.4459 0.4974 0.4684 0.4427 0.4205 0.2965 0.4276 21 22 23 24 25 26 27 28 29 30 0.2703 0.3212 0.2970 0.3059 0.4818 0.2462 0.6561 0.4443 0.2746 0.2710 31 32 33 34 35 36 37 38 39 40 0.4368 0.5029 0.3769 0.5700 0.3056 0.4783 0.3052 0.5521 0.3155 0.1450 41 42 43 44 45 46 47 48 49 50 0.4907 0.5699 0.3117 0.5065 0.4868 0.4588 0.3480 0.2995 0.3934 0.5068 51 52 53 54 55 56 57 58 59 60 0.4583 0.6186 0.4257 0.5961 0.5174 0.1785 0.4110 0.1186 0.4154 0.4318 61 62 63 64 65 66 67 68 69 70 0.3142 0.4365 0.4963 0.3302 0.4402 0.4026 0.2945 0.2766 0.4132 0.5776 71 72 73 74 75 76 77 78 79 80 0.2751 0.3990 0.7181 0.5220 0.4807 0.5075 0.4585 0.2072 0.3525 0.5888 81 82 83 84 85 86 87 88 89 90 0.6202 0.6316 0.5467 0.4562 0.5448 0.4397 0.6213 0.6051 0.3105 0.4268 91 92 93 94 95 96 97 98 99 100 0.4353 0.4491 0.4198 0.4937 0.4684 0.4693 0.4468 0.3974 0.3107 0.3846 101 102 103 104 105 106 107 108 109 110 0.4340 0.4058 0.4843 0.2611 0.4319 0.4031 0.3475 0.4840 0.4419 0.4115 111 112 113 114 115 116 117 118 119 120 0.2899 0.4275 0.3015 0.1355 0.4132 0.4000 0.3493 0.4447 0.1533 0.3787 121 122 123 124 125 126 127 128 129 130 0.5896 0.3022 0.4422 0.3124 0.1508 0.4305 0.3064 0.4518 0.5028 0.5791 131 132 133 134 135 136 137 138 139 140 0.4727 0.5117 0.4349 0.3507 0.4927 0.4899 0.4017 0.3430 0.4422 0.3649 141 142 143 144 145 146 147 148 149 150 0.6019 0.1634 0.3574 0.5788 0.5527 0.4483 0.4783 0.3930 0.5109 0.2667 151 152 153 154 155 156 157 158 159 160 0.2383 0.3293 0.4315 0.3299 0.1440 0.2652 0.4760 0.1529 0.4406 0.4332 161 162 163 164 165 166 167 168 169 170 0.4690 0.2573 0.3572 0.3019 0.2969 0.5573 0.1470 0.2015 0.4483 0.3123 171 172 173 174 175 176 177 178 179 180 0.4744 0.6500 0.4785 0.3617 0.4418 0.5933 0.2823 0.3014 0.5394 0.4811 181 182 183 184 185 186 187 188 189 190 0.3381 0.4452 0.5141 0.3267 0.4103 0.4593 0.1343 0.4969 0.4479 0.3307 191 192 193 194 195 196 197 198 199 200 0.4852 0.4616 0.4515 0.5724 0.3836 0.4070 0.4174 0.3900 0.3958 0.2525 201 202 203 204 205 206 207 208 209 210 0.3828 0.2600 0.1500 0.4759 0.3989 0.5781 0.4380 0.4370 0.2593 0.2467 211 212 213 214 215 216 217 218 219 220 0.3878 0.4450 0.4282 0.7443 0.4482 0.1986 0.4246 0.4894 0.3031 0.5164 221 222 223 224 225 226 227 228 229 230 0.4849 0.4766 0.3101 0.4180 0.2957 0.2490 0.4219 0.2346 0.4062 0.4377 231 232 233 234 235 236 237 238 239 240 0.4201 0.5915 0.4719 0.4418 0.4318 0.4122 0.6814 0.5000 0.2199 0.2260 241 242 243 244 245 246 247 248 249 250 0.3560 0.4012 0.4472 0.4291 0.4740 0.4319 0.5851 0.4872 0.4007 0.3079 251 252 253 254 255 256 257 258 259 260 0.3344 0.6533 0.2386 0.4361 0.4304 0.3989 0.3799 0.6260 0.4187 0.5044 261 262 263 264 265 266 267 268 269 270 0.4522 0.2804 0.3524 0.2901 0.7264 0.5031 0.4331 0.4259 0.3705 0.2871 271 272 273 274 275 276 277 278 279 280 0.4448 0.5540 0.7077 0.4402 0.2439 0.2036 0.4151 0.4167 0.2472 0.3783 281 282 283 284 285 286 287 288 289 290 0.3350 0.4247 0.4648 0.2852 0.3561 0.3255 0.3450 0.4546 0.3977 0.5017 291 292 293 294 295 296 297 298 299 300 0.2802 0.2340 0.2258 0.3836 0.5551 0.3431 0.3965 0.4886 0.3427 0.2506 301 302 303 304 305 306 307 308 309 310 0.3017 0.2577 0.4712 0.3096 0.4559 0.4081 0.4576 0.6308 0.4044 0.4051 311 312 313 314 315 316 317 318 319 320 0.5546 0.3778 0.4003 0.4512 0.3019 0.3921 0.3220 0.4543 0.2685 0.4987 321 322 323 324 325 326 327 328 329 330 0.2996 0.3220 0.5667 0.3757 0.4909 0.5679 0.5591 0.3894 0.4483 0.2302 331 332 333 334 335 336 337 338 339 340 0.4210 0.1393 0.5610 0.5134 0.4754 0.4603 0.2872 0.4239 0.4114 0.5375 341 342 343 344 345 346 347 348 349 350 0.3219 0.3843 0.3690 0.4552 0.2841 0.1825 0.2932 0.3929 0.7351 0.0982 351 352 353 354 355 356 357 358 359 360 0.2787 0.4163 0.4309 0.4446 0.2492 0.2773 0.1335 0.4600 0.5935 0.4422 361 362 363 364 365 366 367 368 369 370 0.4181 0.3072 0.3333 0.3866 0.4849 0.5852 0.4315 0.2953 0.2039 0.3200 371 372 373 374 375 376 377 378 379 380 0.3163 0.4414 0.3714 0.4421 0.5490 0.4319 0.4199 0.2917 0.4021 0.6298 381 382 383 384 385 386 387 388 389 390 0.3023 0.3567 0.2800 0.4963 0.4372 0.0880 0.5229 0.4570 0.2402 0.2652 391 392 393 394 395 396 397 398 399 400 0.7154 0.3243 0.3813 0.2553 0.3304 0.3571 0.7385 0.1496 0.4124 0.2824 401 402 403 404 405 406 407 408 409 410 0.3464 0.5895 0.3111 0.4327 0.4255 0.4129 0.4342 0.4158 0.2653 0.4486 411 412 413 414 415 416 417 418 419 420 0.4355 0.2375 0.4667 0.3346 0.3269 0.3874 0.2248 0.5842 0.4295 0.4625 421 422 423 424 425 426 427 428 429 430 0.5314 0.4554 0.2772 0.5013 0.3936 0.3768 0.4262 0.4867 -0.4715 -0.6743 431 432 433 434 435 436 437 438 439 440 -0.5221 -0.6026 -0.5407 -0.5631 -0.6255 -0.3022 -0.4076 -0.4962 -0.4738 -0.5386 441 442 443 444 445 446 447 448 449 450 -0.2715 -0.4795 -0.4610 -0.5372 -0.4634 -0.6437 -0.6240 -0.5463 -0.5603 -0.6970 451 452 453 454 455 456 457 458 459 460 -0.4168 -0.5518 -0.7811 -0.5636 -0.5574 -0.5348 -0.3133 -0.7061 -0.5531 -0.5218 461 462 463 464 465 466 467 468 469 470 -0.4422 -0.4597 -0.5376 -0.4243 -0.4858 -0.6969 -0.6049 -0.6218 -0.5179 -0.5043 471 472 473 474 475 476 477 478 479 480 -0.3473 -0.5502 -0.5376 -0.4871 -0.5757 -0.6414 -0.5509 -0.4000 -0.5525 -0.7092 481 482 483 484 485 486 487 488 489 490 -0.6882 -0.5570 -0.6297 -0.6641 -0.2325 -0.6247 -0.1839 -0.7844 -0.6081 -0.7632 491 492 493 494 495 496 497 498 499 500 -0.5896 -0.7372 -0.6887 -0.4957 -0.5353 -0.5551 -0.5218 -0.4490 -0.6227 -0.3898 501 502 503 504 505 506 507 508 509 510 -0.6275 -0.8414 -0.6990 -0.5734 -0.5788 -0.6625 -0.6241 -0.5610 -0.5739 -0.4530 511 512 513 514 515 516 517 518 519 520 -0.5320 -0.5804 -0.4866 -0.3413 -0.4977 -0.5717 -0.4181 -0.5913 -0.5910 -0.5772 521 522 523 524 525 526 527 528 529 530 -0.3585 -0.5666 -0.6550 -0.5409 -0.4254 -0.5454 -0.5204 -0.5668 -0.3411 -0.4096 531 532 533 534 535 536 537 538 539 540 -0.2853 -0.6788 -0.6228 -0.5294 -0.7299 -0.5698 -0.4558 -0.3134 -0.5711 -0.3518 541 542 543 544 545 546 547 548 549 550 -0.3541 -0.4468 -0.6825 -0.4679 -0.5311 -0.6267 -0.3976 -0.5524 -0.4364 -0.5033 551 552 553 554 555 556 557 558 559 560 -0.4650 -0.3532 -0.5443 -0.6258 -0.3942 -0.5303 -0.6385 -0.5476 -0.3899 -0.5159 561 562 563 564 565 566 567 568 569 570 -0.3358 -0.3214 -0.5500 -0.4912 -0.4290 -0.4576 -0.2811 -0.6995 -0.5689 -0.5284 571 572 573 574 575 576 577 578 579 580 -0.5473 -0.5534 -0.5263 -0.7551 -0.7171 -0.5755 -0.5206 -0.5366 -0.6528 -0.4900 581 582 583 584 585 586 587 588 589 590 -0.5732 -0.6481 -0.4386 -0.6818 -0.6867 -0.1708 -0.5574 -0.6798 -0.5522 -0.5885 591 592 593 594 595 596 597 598 599 600 -0.4323 -0.5896 -0.4266 -0.3682 -0.4811 -0.3344 -0.5545 -0.2737 -0.6169 -0.4281 601 602 603 604 605 606 607 608 609 610 -0.4843 -0.7074 -0.5621 -0.4909 -0.6067 -0.4952 -0.4920 -0.4901 -0.5308 -0.7677 611 612 613 614 615 616 617 618 619 620 -0.5821 -0.5439 -0.5192 -0.5742 -0.5377 -0.4506 -0.3207 -0.6034 -0.5490 -0.4637 621 622 623 624 625 626 627 628 629 630 -0.5429 -0.5243 -0.5301 -0.4739 -0.5165 -0.6409 -0.5669 -0.6147 -0.4204 -0.5933 631 632 633 634 635 636 637 638 639 640 -0.1981 -0.4155 -0.5614 -0.6259 -0.5191 -0.7096 -0.5420 -0.3495 -0.5174 -0.1616 641 642 643 644 645 646 647 648 649 650 -0.6739 -0.5893 -0.3680 -0.6957 -0.6115 -0.6876 -0.8419 -0.6422 -0.6376 -0.2065 651 652 653 654 655 656 657 658 659 660 -0.5926 -0.5206 -0.5156 -0.5849 -0.5790 -0.3762 -0.6675 -0.3337 -0.6691 -0.4030 661 662 663 664 665 666 667 668 669 670 -0.4455 -0.6777 -0.4659 -0.5216 -0.6086 -0.4759 -0.6585 -0.5042 -0.5543 -0.4666 671 672 673 674 675 676 677 678 679 680 -0.5024 -0.6975 -0.4947 -0.4522 -0.6612 -0.6094 -0.2721 -0.6337 -0.6051 -0.8182 681 682 683 684 685 686 687 688 689 690 -0.3902 -0.4586 -0.7649 -0.5189 -0.6053 -0.5728 -0.6349 -0.6368 -0.3639 -0.4434 691 692 693 694 695 696 697 698 699 700 -0.5680 -0.6301 -0.6102 -0.6614 -0.5775 -0.5467 -0.6098 -0.5500 -0.6944 -0.5474 701 702 703 704 705 706 707 708 709 710 -0.4262 -0.3340 -0.6120 -0.5306 -0.5446 -0.3561 -0.4381 -0.7200 -0.5502 -0.5466 711 712 713 714 715 716 717 718 719 720 -0.5249 -0.5021 -0.5225 -0.3386 -0.6976 -0.5939 -0.5834 -0.5768 -0.5017 -0.3866 721 722 723 724 725 726 727 728 729 730 -0.5851 -0.5942 -0.6581 -0.5606 -0.2046 -0.2192 -0.4260 -0.6731 -0.6576 -0.6051 731 732 733 734 735 736 737 738 739 740 -0.6504 -0.5025 -0.3685 -0.6984 -0.6494 -0.5209 -0.5808 -0.6056 -0.6525 -0.6463 741 742 743 744 745 746 747 748 749 750 -0.5027 -0.5866 -0.4534 -0.3788 -0.5010 -0.5592 -0.4426 -0.5506 -0.6309 -0.5136 751 752 753 -0.7100 -0.3179 -0.4794 > all.equal( residuals( greene$probit, type = "response" ), + residuals( greene, part = "selection", type = "response" ) ) [1] TRUE > all.equal( residuals( greene, part = "selection", type = "response" ), + Mroz87$lfp - fitted( greene, part = "selection" ) ) [1] TRUE > print( model.matrix( greene, part = "outcome" ) ) XO(Intercept) XOexper XOI(exper^2) XOeduc XOcity imrData$IMR1 1 1 14 196 12 0 0.738 2 1 5 25 12 1 0.766 3 1 15 225 12 0 0.683 4 1 6 36 12 0 0.732 5 1 7 49 14 1 0.612 6 1 33 1089 12 1 0.768 7 1 11 121 16 0 0.459 8 1 35 1225 12 0 0.769 9 1 24 576 12 0 0.814 10 1 21 441 12 0 0.671 11 1 15 225 12 0 0.677 12 1 14 196 11 0 0.727 13 1 0 0 12 0 0.784 14 1 14 196 12 1 0.713 15 1 6 36 10 1 0.794 16 1 9 81 11 1 0.748 17 1 20 400 12 1 0.708 18 1 6 36 12 1 0.675 19 1 23 529 12 1 0.492 20 1 9 81 12 0 0.685 21 1 5 25 16 0 0.453 22 1 11 121 12 0 0.528 23 1 18 324 13 1 0.492 24 1 15 225 12 0 0.505 25 1 4 16 12 1 0.769 26 1 21 441 17 1 0.418 27 1 31 961 12 1 1.070 28 1 9 81 12 1 0.711 29 1 7 49 17 0 0.460 30 1 7 49 12 0 0.454 31 1 32 1024 11 1 0.700 32 1 11 121 16 1 0.802 33 1 16 256 13 0 0.610 34 1 14 196 12 1 0.913 35 1 27 729 16 1 0.505 36 1 0 0 11 0 0.764 37 1 17 289 12 1 0.504 38 1 28 784 10 0 0.883 39 1 24 576 14 0 0.519 40 1 11 121 17 1 0.267 41 1 1 1 12 0 0.783 42 1 14 196 12 1 0.913 43 1 6 36 16 1 0.514 44 1 10 100 12 0 0.808 45 1 6 36 12 0 0.777 46 1 4 16 12 0 0.733 47 1 10 100 16 1 0.567 48 1 22 484 12 0 0.496 49 1 16 256 12 0 0.634 50 1 6 36 12 0 0.809 51 1 12 144 12 1 0.732 52 1 32 1024 12 1 0.999 53 1 15 225 12 0 0.683 54 1 17 289 8 1 0.959 55 1 34 1156 10 0 0.826 56 1 9 81 16 1 0.318 57 1 37 1369 14 1 0.660 58 1 10 100 17 1 0.225 59 1 35 1225 14 1 0.667 60 1 6 36 12 1 0.692 61 1 19 361 14 0 0.517 62 1 10 100 12 1 0.699 63 1 11 121 8 1 0.792 64 1 15 225 12 1 0.541 65 1 12 144 12 1 0.705 66 1 12 144 8 0 0.648 67 1 14 196 17 0 0.489 68 1 11 121 12 1 0.463 69 1 9 81 12 1 0.664 70 1 24 576 12 0 0.926 71 1 12 144 12 1 0.460 72 1 13 169 12 1 0.642 73 1 29 841 9 1 1.198 74 1 11 121 10 1 0.833 75 1 13 169 12 1 0.767 76 1 19 361 12 1 0.810 77 1 2 4 12 0 0.733 78 1 24 576 17 1 0.361 79 1 9 81 15 1 0.574 80 1 6 36 12 1 0.946 81 1 22 484 6 1 1.002 82 1 30 900 14 0 1.023 83 1 10 100 12 1 0.874 84 1 6 36 14 1 0.729 85 1 29 841 9 0 0.871 86 1 29 841 17 1 0.704 87 1 36 1296 13 1 1.004 88 1 19 361 9 1 0.975 89 1 8 64 15 1 0.512 90 1 13 169 12 0 0.684 91 1 16 256 12 1 0.697 92 1 11 121 12 1 0.718 93 1 15 225 12 1 0.674 94 1 6 36 12 1 0.788 95 1 13 169 12 0 0.748 96 1 22 484 12 0 0.749 97 1 24 576 12 1 0.715 98 1 2 4 13 1 0.640 99 1 6 36 12 0 0.512 100 1 2 4 13 0 0.621 101 1 2 4 12 1 0.695 102 1 14 196 12 0 0.653 103 1 9 81 12 1 0.773 104 1 11 121 16 1 0.440 105 1 9 81 12 0 0.692 106 1 6 36 13 1 0.649 107 1 19 361 11 0 0.566 108 1 26 676 12 0 0.772 109 1 19 361 12 1 0.707 110 1 3 9 12 1 0.661 111 1 7 49 17 1 0.482 112 1 28 784 14 1 0.685 113 1 13 169 16 1 0.499 114 1 9 81 17 1 0.252 115 1 15 225 12 1 0.664 116 1 20 400 11 1 0.644 117 1 29 841 12 1 0.569 118 1 9 81 12 1 0.711 119 1 1 1 17 1 0.279 120 1 8 64 10 1 0.612 121 1 19 361 13 1 0.947 122 1 23 529 11 0 0.500 123 1 3 9 12 0 0.708 124 1 13 169 16 0 0.515 125 1 8 64 17 1 0.276 126 1 17 289 12 0 0.690 127 1 4 16 16 1 0.506 128 1 15 225 12 0 0.722 129 1 11 121 16 0 0.802 130 1 7 49 8 0 0.929 131 1 0 0 12 0 0.755 132 1 0 0 12 0 0.817 133 1 10 100 12 1 0.697 134 1 8 64 13 1 0.571 135 1 2 4 11 1 0.786 136 1 4 16 12 1 0.782 137 1 6 36 12 1 0.647 138 1 18 324 14 1 0.560 139 1 3 9 12 1 0.708 140 1 22 484 12 1 0.592 141 1 33 1089 12 1 0.969 142 1 28 784 17 1 0.295 143 1 23 529 14 1 0.581 144 1 27 729 12 0 0.929 145 1 11 121 9 1 0.884 146 1 6 36 12 1 0.717 147 1 11 121 12 1 0.764 148 1 14 196 12 1 0.633 149 1 17 289 14 1 0.815 150 1 17 289 16 1 0.448 151 1 14 196 17 0 0.407 152 1 11 121 15 1 0.540 153 1 7 49 12 1 0.691 154 1 8 64 16 1 0.540 155 1 6 36 17 1 0.265 156 1 8 64 17 1 0.446 157 1 4 16 12 0 0.760 158 1 25 625 16 1 0.279 159 1 24 576 13 0 0.705 160 1 11 121 12 1 0.694 161 1 19 361 11 1 0.749 162 1 9 81 16 1 0.434 163 1 19 361 14 1 0.580 164 1 14 196 16 0 0.499 165 1 22 484 12 1 0.492 166 1 6 36 9 1 0.892 167 1 23 529 17 1 0.270 168 1 15 225 14 1 0.352 169 1 6 36 12 1 0.717 170 1 11 121 12 0 0.515 171 1 2 4 11 0 0.758 172 1 22 484 12 1 1.058 173 1 10 100 12 1 0.764 174 1 14 196 10 1 0.587 175 1 12 144 12 1 0.707 176 1 9 81 5 1 0.954 177 1 13 169 17 0 0.471 178 1 18 324 11 0 0.499 179 1 8 64 12 0 0.862 180 1 11 121 12 1 0.768 181 1 9 81 14 1 0.552 182 1 9 81 11 1 0.712 183 1 14 196 12 1 0.821 184 1 9 81 14 1 0.536 185 1 2 4 12 1 0.659 186 1 12 144 10 0 0.734 187 1 15 225 16 1 0.250 188 1 11 121 13 1 0.793 189 1 7 49 12 0 0.716 190 1 9 81 12 1 0.541 191 1 19 361 12 0 0.774 192 1 11 121 11 0 0.738 193 1 8 64 12 1 0.722 194 1 13 169 9 1 0.918 195 1 4 16 13 1 0.619 196 1 7 49 12 1 0.654 197 1 19 361 12 0 0.670 198 1 14 196 12 1 0.629 199 1 14 196 13 1 0.638 200 1 3 9 16 1 0.427 201 1 9 81 12 1 0.618 202 1 7 49 16 1 0.438 203 1 7 49 17 1 0.274 204 1 14 196 12 0 0.760 205 1 29 841 12 0 0.642 206 1 19 361 9 0 0.927 207 1 14 196 12 1 0.701 208 1 16 256 12 0 0.700 209 1 10 100 13 1 0.437 210 1 12 144 12 0 0.419 211 1 24 576 12 1 0.626 212 1 6 36 12 0 0.712 213 1 9 81 12 1 0.686 214 1 14 196 10 0 1.258 215 1 26 676 12 0 0.717 216 1 7 49 16 0 0.348 217 1 4 16 12 1 0.681 218 1 15 225 11 0 0.781 219 1 23 529 12 1 0.501 220 1 1 1 10 0 0.824 221 1 29 841 12 1 0.774 222 1 9 81 12 1 0.761 223 1 6 36 12 0 0.511 224 1 11 121 12 0 0.671 225 1 17 289 16 1 0.490 226 1 6 36 17 1 0.422 227 1 7 49 12 1 0.677 228 1 2 4 17 1 0.401 229 1 24 576 12 1 0.653 230 1 4 16 12 0 0.701 231 1 11 121 12 0 0.674 232 1 25 625 8 0 0.951 233 1 11 121 12 0 0.754 234 1 2 4 13 1 0.707 235 1 19 361 12 0 0.692 236 1 7 49 12 1 0.662 237 1 2 4 8 1 1.120 238 1 20 400 12 1 0.798 239 1 10 100 17 1 0.379 240 1 19 361 17 1 0.388 241 1 17 289 12 1 0.579 242 1 12 144 13 1 0.646 243 1 11 121 12 1 0.715 244 1 6 36 12 1 0.688 245 1 10 100 12 1 0.757 246 1 4 16 12 0 0.692 247 1 2 4 9 1 0.940 248 1 13 169 10 1 0.778 249 1 21 441 12 0 0.645 250 1 9 81 16 1 0.508 251 1 4 16 13 1 0.547 252 1 2 4 8 0 1.065 253 1 19 361 16 1 0.407 254 1 4 16 13 1 0.698 255 1 9 81 12 1 0.690 256 1 14 196 11 1 0.642 257 1 6 36 13 1 0.614 258 1 24 576 12 1 1.013 259 1 1 1 12 0 0.672 260 1 13 169 10 1 0.805 261 1 3 9 12 1 0.723 262 1 10 100 17 1 0.468 263 1 16 256 15 1 0.573 264 1 9 81 16 1 0.482 265 1 19 361 10 0 1.217 266 1 4 16 11 1 0.803 267 1 10 100 12 1 0.694 268 1 5 25 12 1 0.683 269 1 7 49 14 1 0.600 270 1 3 9 16 0 0.478 271 1 38 1444 14 0 0.712 272 1 16 256 8 0 0.886 273 1 13 169 7 0 1.175 274 1 1 1 12 0 0.705 275 1 7 49 12 0 0.415 276 1 15 225 14 1 0.355 277 1 10 100 12 1 0.667 278 1 2 4 12 0 0.669 279 1 19 361 12 1 0.420 280 1 25 625 14 1 0.612 281 1 25 625 16 1 0.548 282 1 7 49 12 1 0.681 283 1 15 225 12 1 0.743 284 1 11 121 12 1 0.475 285 1 25 625 13 1 0.579 286 1 19 361 13 1 0.534 287 1 4 16 10 1 0.563 288 1 14 196 12 1 0.727 289 1 19 361 12 1 0.641 290 1 18 324 12 1 0.801 291 1 14 196 12 1 0.468 292 1 11 121 14 1 0.400 293 1 4 16 17 0 0.388 294 1 29 841 10 1 0.620 295 1 21 441 9 0 0.888 296 1 24 576 12 1 0.560 297 1 19 361 12 1 0.639 298 1 31 961 16 1 0.780 299 1 28 784 12 1 0.559 300 1 15 225 17 1 0.425 301 1 27 729 12 0 0.499 302 1 13 169 17 0 0.435 303 1 4 16 11 0 0.752 304 1 10 100 16 1 0.511 305 1 8 64 11 1 0.729 306 1 4 16 13 0 0.656 307 1 18 324 11 1 0.731 308 1 3 9 8 1 1.022 309 1 11 121 11 1 0.650 310 1 8 64 12 1 0.651 311 1 10 100 10 1 0.887 312 1 33 1089 17 1 0.611 313 1 19 361 12 1 0.644 314 1 35 1225 12 1 0.721 315 1 21 441 17 1 0.499 316 1 7 49 14 0 0.632 317 1 18 324 12 0 0.529 318 1 4 16 12 0 0.726 319 1 12 144 12 1 0.451 320 1 16 256 12 0 0.796 321 1 14 196 12 1 0.496 322 1 3 9 12 1 0.529 323 1 1 1 9 0 0.908 324 1 27 729 10 0 0.608 325 1 12 144 12 1 0.783 326 1 6 36 12 0 0.910 327 1 9 81 12 1 0.895 328 1 2 4 12 0 0.628 329 1 6 36 12 0 0.717 330 1 9 81 17 1 0.395 331 1 16 256 12 1 0.675 332 1 22 484 17 0 0.258 333 1 26 676 12 0 0.898 334 1 11 121 10 0 0.819 335 1 11 121 12 1 0.759 336 1 15 225 12 0 0.736 337 1 13 169 12 0 0.478 338 1 6 36 12 1 0.680 339 1 20 400 12 1 0.661 340 1 17 289 12 1 0.859 341 1 8 64 16 1 0.529 342 1 13 169 13 1 0.621 343 1 15 225 13 1 0.598 344 1 14 196 12 0 0.728 345 1 14 196 16 0 0.473 346 1 6 36 17 1 0.324 347 1 24 576 12 1 0.487 348 1 10 100 14 1 0.633 349 1 2 4 12 1 1.236 350 1 9 81 17 1 0.192 351 1 23 529 12 1 0.466 352 1 12 144 14 1 0.668 353 1 8 64 12 0 0.690 354 1 16 256 12 1 0.711 355 1 10 100 17 1 0.423 356 1 7 49 16 1 0.464 357 1 19 361 16 1 0.249 358 1 2 4 12 1 0.735 359 1 9 81 9 1 0.954 360 1 14 196 12 0 0.708 361 1 9 81 12 1 0.671 362 1 16 256 16 1 0.507 363 1 7 49 14 1 0.545 364 1 6 36 12 1 0.624 365 1 22 484 12 1 0.774 366 1 9 81 11 0 0.940 367 1 9 81 12 0 0.691 368 1 14 196 16 1 0.490 369 1 17 289 17 1 0.356 370 1 12 144 17 0 0.526 371 1 13 169 14 0 0.521 372 1 8 64 12 0 0.707 373 1 10 100 14 1 0.601 374 1 16 256 12 0 0.708 375 1 1 1 10 0 0.878 376 1 6 36 12 0 0.692 377 1 4 16 13 1 0.674 378 1 8 64 16 0 0.485 379 1 4 16 12 1 0.647 380 1 15 225 7 1 1.020 381 1 7 49 16 0 0.500 382 1 14 196 14 0 0.580 383 1 16 256 12 0 0.468 384 1 15 225 10 0 0.792 385 1 23 529 12 0 0.700 386 1 19 361 16 0 0.175 387 1 4 16 10 0 0.835 388 1 12 144 12 1 0.730 389 1 12 144 14 1 0.409 390 1 25 625 12 1 0.446 391 1 14 196 6 0 1.192 392 1 14 196 15 0 0.532 393 1 11 121 12 0 0.616 394 1 7 49 17 1 0.431 395 1 18 324 14 1 0.541 396 1 4 16 13 1 0.580 397 1 37 1369 6 0 1.244 398 1 13 169 16 0 0.274 399 1 14 196 14 1 0.663 400 1 17 289 15 1 0.471 401 1 5 25 14 1 0.565 402 1 2 4 8 0 0.947 403 1 0 0 14 1 0.513 404 1 3 9 12 1 0.693 405 1 21 441 12 1 0.682 406 1 20 400 12 1 0.663 407 1 19 361 12 1 0.696 408 1 4 16 12 1 0.668 409 1 19 361 12 0 0.446 410 1 11 121 8 1 0.718 411 1 14 196 12 0 0.697 412 1 8 64 17 1 0.405 413 1 13 169 12 0 0.745 414 1 24 576 12 1 0.547 415 1 1 1 14 1 0.536 416 1 1 1 13 1 0.625 417 1 3 9 17 0 0.387 418 1 4 16 8 0 0.938 419 1 21 441 12 0 0.688 420 1 10 100 11 0 0.739 421 1 13 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739 NA NA NA NA NA NA 740 NA NA NA NA NA NA 741 NA NA NA NA NA NA 742 NA NA NA NA NA NA 743 NA NA NA NA NA NA 744 NA NA NA NA NA NA 745 NA NA NA NA NA NA 746 NA NA NA NA NA NA 747 NA NA NA NA NA NA 748 NA NA NA NA NA NA 749 NA NA NA NA NA NA 750 NA NA NA NA NA NA 751 NA NA NA NA NA NA 752 NA NA NA NA NA NA 753 NA NA NA NA NA NA attr(,"assign") [1] 1 1 1 1 1 2 > print( model.matrix( greene, part = "selection" ) ) XS(Intercept) XSage XSI(age^2) XSfaminc XSkidsTRUE XSeduc 1 1 32 1024 16310 1 12 2 1 30 900 21800 1 12 3 1 35 1225 21040 1 12 4 1 34 1156 7300 1 12 5 1 31 961 27300 1 14 6 1 54 2916 19495 0 12 7 1 37 1369 21152 1 16 8 1 54 2916 18900 0 12 9 1 48 2304 20405 1 12 10 1 39 1521 20425 1 12 11 1 33 1089 32300 1 12 12 1 42 1764 28700 1 11 13 1 30 900 15500 1 12 14 1 43 1849 16860 1 12 15 1 43 1849 31431 1 10 16 1 35 1225 19180 1 11 17 1 43 1849 18600 1 12 18 1 39 1521 19151 1 12 19 1 45 2025 18100 0 12 20 1 35 1225 20300 1 12 21 1 42 1764 30419 1 16 22 1 30 900 14090 0 12 23 1 48 2304 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attr(,"assign") [1] 1 1 1 1 1 1 > print( model.frame( greene ) ) lfp (Intercept) age I(age^2) faminc kidsTRUE educ wage exper I(exper^2) 1 1 1 32 1024 16310 1 12 3.354 14 196 2 1 1 30 900 21800 1 12 1.389 5 25 3 1 1 35 1225 21040 1 12 4.545 15 225 4 1 1 34 1156 7300 1 12 1.097 6 36 5 1 1 31 961 27300 1 14 4.592 7 49 6 1 1 54 2916 19495 0 12 4.742 33 1089 7 1 1 37 1369 21152 1 16 8.333 11 121 8 1 1 54 2916 18900 0 12 7.843 35 1225 9 1 1 48 2304 20405 1 12 2.126 24 576 10 1 1 39 1521 20425 1 12 4.688 21 441 11 1 1 33 1089 32300 1 12 4.063 15 225 12 1 1 42 1764 28700 1 11 4.592 14 196 13 1 1 30 900 15500 1 12 2.083 0 0 14 1 1 43 1849 16860 1 12 2.267 14 196 15 1 1 43 1849 31431 1 10 3.680 6 36 16 1 1 35 1225 19180 1 11 1.347 9 81 17 1 1 43 1849 18600 1 12 3.214 20 400 18 1 1 39 1521 19151 1 12 5.175 6 36 19 1 1 45 2025 18100 0 12 2.000 23 529 20 1 1 35 1225 20300 1 12 7.553 9 81 21 1 1 42 1764 30419 1 16 3.505 5 25 22 1 1 30 900 14090 0 12 3.571 11 121 23 1 1 48 2304 22679 0 13 3.250 18 324 24 1 1 45 2025 12160 0 12 3.250 15 225 25 1 1 31 961 12487 1 12 2.155 4 16 26 1 1 43 1849 29850 1 17 3.788 21 441 27 1 1 59 3481 18100 0 12 4.000 31 961 28 1 1 32 1024 26000 1 12 4.727 9 81 29 1 1 31 961 26100 1 17 7.256 7 49 30 1 1 42 1764 17730 0 12 5.867 7 49 31 1 1 50 2500 6719 0 11 1.538 32 1024 32 1 1 59 3481 18550 0 16 2.459 11 121 33 1 1 36 1296 24600 1 13 5.851 16 256 34 1 1 51 2601 23100 1 12 3.571 14 196 35 1 1 45 2025 24656 1 16 3.807 27 729 36 1 1 42 1764 15897 1 11 2.464 0 0 37 1 1 46 2116 20320 0 12 2.375 17 289 38 1 1 46 2116 21384 1 10 4.535 28 784 39 1 1 51 2601 25561 0 14 5.618 24 576 40 1 1 30 900 36550 0 17 14.631 11 121 41 1 1 30 900 15810 1 12 2.679 1 1 42 1 1 57 3249 25500 0 12 3.919 14 196 43 1 1 31 961 24000 1 16 2.573 6 36 44 1 1 48 2304 22172 1 12 4.537 10 100 45 1 1 30 900 17930 1 12 2.000 6 36 46 1 1 34 1156 7000 1 12 3.472 4 16 47 1 1 48 2304 25300 1 16 2.016 10 100 48 1 1 45 2025 16212 0 12 4.572 22 484 49 1 1 51 2601 22650 0 12 2.273 16 256 50 1 1 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29612 1 12 2.882 14 196 103 1 1 47 2209 24479 1 12 2.407 9 81 104 1 1 48 2304 79750 1 16 5.233 11 121 105 1 1 42 1764 20050 1 12 3.750 9 81 106 1 1 33 1089 21500 1 13 1.389 6 36 107 1 1 46 2116 16120 0 11 4.000 19 361 108 1 1 47 2209 24686 1 12 3.231 26 676 109 1 1 44 1936 24669 1 12 3.401 19 361 110 1 1 36 1296 26400 1 12 1.333 3 9 111 1 1 31 961 16245 1 17 9.302 7 49 112 1 1 55 3025 23300 0 14 4.500 28 784 113 1 1 45 2025 27200 1 16 4.623 13 169 114 1 1 47 2209 51000 0 17 3.956 9 81 115 1 1 46 2116 55000 1 12 5.814 15 225 116 1 1 49 2401 15389 0 11 0.500 20 400 117 1 1 49 2401 23150 0 12 4.082 29 841 118 1 1 45 2025 29774 1 12 6.000 9 81 119 1 1 38 1444 91044 1 17 3.667 1 1 120 1 1 47 2209 28200 0 10 3.861 8 64 121 1 1 54 2916 36150 1 13 2.763 19 361 122 1 1 41 1681 15652 0 11 2.931 23 529 123 1 1 43 1849 18900 1 12 4.388 3 9 124 1 1 31 961 23600 1 16 5.417 13 169 125 1 1 47 2209 36200 0 17 9.861 8 64 126 1 1 35 1225 18700 1 12 0.162 17 289 127 1 1 45 2025 24125 1 16 0.383 4 16 128 1 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1.882 7 49 154 1 1 31 961 12900 1 16 4.000 8 64 155 1 1 47 2209 42700 0 17 8.190 6 36 156 1 1 54 2916 38800 0 17 7.097 8 64 157 1 1 33 1089 2500 1 12 1.667 4 16 158 1 1 43 1849 26921 0 16 3.445 25 625 159 1 1 46 2116 18300 1 13 4.235 24 576 160 1 1 35 1225 17200 1 12 2.778 11 121 161 1 1 37 1369 14209 1 11 1.889 19 361 162 1 1 37 1369 32300 1 16 5.035 9 81 163 1 1 34 1156 21400 1 14 1.250 19 361 164 1 1 43 1849 14700 1 16 2.857 14 196 165 1 1 46 2116 25516 0 12 4.117 22 484 166 1 1 35 1225 13300 1 9 1.778 6 36 167 1 1 46 2116 31000 0 17 13.554 23 529 168 1 1 46 2116 48800 0 14 4.563 15 225 169 1 1 43 1849 15519 1 12 2.128 6 36 170 1 1 30 900 19500 0 12 2.989 11 121 171 1 1 41 1681 14545 1 11 2.565 2 4 172 1 1 54 2916 22897 1 12 5.612 22 484 173 1 1 31 961 14300 1 12 2.805 10 100 174 1 1 44 1936 14884 0 10 1.607 14 196 175 1 1 32 1024 27400 1 12 2.250 12 144 176 1 1 47 2209 16400 0 5 2.033 9 81 177 1 1 46 2116 25704 1 17 5.532 13 169 178 1 1 37 1369 12800 0 11 1.585 18 324 179 1 1 51 2601 40000 1 12 3.788 8 64 180 1 1 49 2401 47000 1 12 3.000 11 121 181 1 1 36 1296 25872 1 14 8.654 9 81 182 1 1 39 1521 26868 1 11 4.210 9 81 183 1 1 48 2304 18000 1 12 4.688 14 196 184 1 1 38 1444 30200 1 14 4.098 9 81 185 1 1 40 1600 26220 1 12 25.000 2 4 186 1 1 39 1521 40500 1 10 2.633 12 144 187 1 1 37 1369 33570 0 16 6.000 15 225 188 1 1 49 2401 16917 1 13 5.413 11 121 189 1 1 33 1089 18000 1 12 0.664 7 49 190 1 1 30 900 8337 0 12 1.250 9 81 191 1 1 54 2916 17100 0 12 2.275 19 361 192 1 1 39 1521 17800 1 11 3.462 11 121 193 1 1 43 1849 13740 1 12 4.167 8 64 194 1 1 31 961 27000 1 9 4.469 13 169 195 1 1 33 1089 32600 1 13 1.750 4 16 196 1 1 40 1600 28030 1 12 3.669 7 49 197 1 1 36 1296 23100 1 12 6.583 19 361 198 1 1 51 2601 24580 0 12 2.600 14 196 199 1 1 44 1936 29000 1 13 4.865 14 196 200 1 1 42 1764 42430 1 16 5.787 3 9 201 1 1 40 1600 41800 1 12 4.541 9 81 202 1 1 34 1156 39100 1 16 9.506 7 49 203 1 1 30 900 31800 0 17 10.638 7 49 204 1 1 54 2916 22200 0 12 1.111 14 196 205 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11 4.098 14 196 257 1 1 35 1225 25780 1 13 1.482 6 36 258 1 1 53 2809 20675 1 12 3.636 24 576 259 1 1 32 1024 40213 1 12 1.000 1 1 260 1 1 38 1444 15500 1 10 2.604 13 169 261 1 1 54 2916 35207 0 12 1.750 3 9 262 1 1 47 2209 35702 1 17 4.800 10 100 263 1 1 45 2025 17800 1 15 5.530 16 256 264 1 1 47 2209 50900 1 16 4.098 9 81 265 1 1 59 3481 17280 0 10 1.250 19 361 266 1 1 32 1024 15150 1 11 1.667 4 16 267 1 1 45 2025 36200 1 12 3.790 10 100 268 1 1 40 1600 17465 1 12 2.364 5 25 269 1 1 47 2209 45205 1 14 10.204 7 49 270 1 1 36 1296 14500 1 16 6.818 3 9 271 1 1 56 3136 32011 0 14 7.215 38 1444 272 1 1 41 1681 35200 1 8 2.448 16 256 273 1 1 48 2304 13579 1 7 1.199 13 169 274 1 1 36 1296 10455 1 12 1.641 1 1 275 1 1 41 1681 32600 0 12 1.782 7 49 276 1 1 41 1681 19150 0 14 2.941 15 225 277 1 1 36 1296 24400 1 12 4.969 10 100 278 1 1 37 1369 21700 1 12 1.861 2 4 279 1 1 38 1444 26201 0 12 8.036 19 361 280 1 1 43 1849 11920 1 14 3.972 25 625 281 1 1 54 2916 16300 0 16 3.042 25 625 282 1 1 38 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2.390 18 324 308 1 1 45 2025 12260 1 8 1.256 3 9 309 1 1 50 2500 24850 0 11 1.094 11 121 310 1 1 40 1600 29150 1 12 3.750 8 64 311 1 1 30 900 23591 1 10 3.307 10 100 312 1 1 57 3249 24717 0 17 5.135 33 1089 313 1 1 39 1521 30455 1 12 6.633 19 361 314 1 1 53 2809 19600 0 12 4.564 35 1225 315 1 1 48 2304 31875 1 17 11.848 21 441 316 1 1 46 2116 24055 1 14 3.750 7 49 317 1 1 47 2209 18795 0 12 4.365 18 324 318 1 1 43 1849 12198 1 12 3.933 4 16 319 1 1 47 2209 52645 0 12 3.333 12 144 320 1 1 47 2209 16600 1 12 3.316 16 256 321 1 1 47 2209 32590 0 12 3.562 14 196 322 1 1 46 2116 10020 0 12 1.600 3 9 323 1 1 34 1156 12048 1 9 2.225 1 1 324 1 1 48 2304 39750 0 10 4.787 27 729 325 1 1 30 900 15700 1 12 5.806 12 144 326 1 1 51 2601 24250 1 12 2.358 6 36 327 1 1 52 2704 43210 1 12 2.000 9 81 328 1 1 37 1369 37100 1 12 1.900 2 4 329 1 1 32 1024 23820 1 12 5.123 6 36 330 1 1 36 1296 31600 1 17 5.495 9 81 331 1 1 35 1225 24000 1 12 6.322 16 256 332 1 1 45 2025 30750 0 17 7.143 22 484 333 1 1 56 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0.476 2 4 359 1 1 54 2916 21650 0 9 2.151 9 81 360 1 1 38 1444 6740 1 12 1.858 14 196 361 1 1 43 1849 32275 1 12 4.330 9 81 362 1 1 54 2916 33220 0 16 8.929 16 256 363 1 1 39 1521 26500 1 14 2.778 7 49 364 1 1 37 1369 38700 1 12 2.656 6 36 365 1 1 46 2116 15400 1 12 2.500 22 484 366 1 1 56 3136 19007 0 11 18.267 9 81 367 1 1 41 1681 16771 1 12 0.819 9 81 368 1 1 45 2025 31100 1 16 2.000 14 196 369 1 1 44 1936 66300 1 17 15.385 17 289 370 1 1 50 2500 43550 1 17 6.478 12 144 371 1 1 37 1369 37250 1 14 8.333 13 169 372 1 1 44 1936 24900 1 12 4.550 8 64 373 1 1 32 1024 24200 1 14 2.496 10 100 374 1 1 34 1156 16200 1 12 4.480 16 256 375 1 1 32 1024 11431 1 10 2.232 1 1 376 1 1 37 1369 13200 1 12 2.071 6 36 377 1 1 44 1936 15420 1 13 1.676 4 16 378 1 1 34 1156 18400 1 16 3.409 8 64 379 1 1 33 1089 43500 1 12 2.500 4 16 380 1 1 43 1849 21972 1 7 3.961 15 225 381 1 1 35 1225 7774 1 16 6.228 7 49 382 1 1 43 1849 24470 1 14 3.929 14 196 383 1 1 34 1156 13600 0 12 2.900 16 256 384 1 1 36 1296 22500 1 10 4.082 15 225 385 1 1 41 1681 13600 1 12 2.850 23 529 386 1 1 41 1681 90800 0 16 7.015 19 361 387 1 1 35 1225 10776 1 10 2.939 4 16 388 1 1 32 1024 19007 1 12 1.923 12 144 389 1 1 30 900 23900 0 14 6.875 12 144 390 1 1 43 1849 26060 0 12 3.900 25 625 391 1 1 54 2916 13300 0 6 2.000 14 196 392 1 1 35 1225 15620 1 15 4.976 14 196 393 1 1 50 2500 16500 0 12 1.202 11 121 394 1 1 34 1156 20880 1 17 22.500 7 49 395 1 1 52 2704 30600 0 14 6.868 18 324 396 1 1 35 1225 39000 1 13 3.561 4 16 397 1 1 55 3025 15428 0 6 1.979 37 1369 398 1 1 35 1225 23300 0 16 5.371 13 169 399 1 1 49 2401 42100 1 14 1.744 14 196 400 1 1 38 1444 36430 1 15 5.095 17 289 401 1 1 42 1764 26000 1 14 2.500 5 25 402 1 1 48 2304 62060 1 8 3.825 2 4 403 1 1 51 2601 28300 0 14 1.000 0 0 404 1 1 43 1849 24149 1 12 3.072 3 9 405 1 1 43 1849 28141 1 12 1.716 21 441 406 1 1 38 1444 23057 1 12 4.021 20 400 407 1 1 44 1936 28900 1 12 5.458 19 361 408 1 1 36 1296 24000 1 12 25.000 4 16 409 1 1 38 1444 13900 0 12 2.390 19 361 410 1 1 47 2209 31810 0 8 3.213 11 121 411 1 1 34 1156 19840 1 12 3.377 14 196 412 1 1 40 1600 25490 1 17 1.778 8 64 413 1 1 31 961 20800 1 12 3.163 13 169 414 1 1 46 2116 2400 0 12 2.703 24 576 415 1 1 36 1296 32650 1 14 1.693 1 1 416 1 1 39 1521 16370 1 13 0.214 1 1 417 1 1 36 1296 35500 1 17 6.767 3 9 418 1 1 37 1369 15100 1 8 1.741 4 16 419 1 1 39 1521 14100 1 12 2.500 21 441 420 1 1 36 1296 19600 1 11 4.486 10 100 421 1 1 49 2401 19434 1 12 2.572 13 169 422 1 1 45 2025 23882 1 12 3.460 9 81 423 1 1 32 1024 17300 1 17 4.783 14 196 424 1 1 36 1296 19772 1 10 2.312 2 4 425 1 1 40 1600 35641 1 12 5.306 21 441 426 1 1 43 1849 34220 1 13 5.867 22 484 427 1 1 33 1089 30000 1 12 3.409 14 196 428 1 1 30 900 18000 1 12 4.082 7 49 429 0 1 49 2401 21025 1 12 NA NA NA 430 0 1 30 900 23600 1 16 NA NA NA 431 0 1 30 900 22800 1 12 NA NA NA 432 0 1 41 1681 35910 1 12 NA NA NA 433 0 1 45 2025 21700 1 12 NA NA NA 434 0 1 43 1849 21823 1 12 NA NA NA 435 0 1 42 1764 31000 1 13 NA NA NA 436 0 1 60 3600 15300 0 12 NA NA NA 437 0 1 57 3249 12925 0 12 NA NA NA 438 0 1 38 1444 15830 1 10 NA NA NA 439 0 1 56 3136 30200 0 12 NA NA NA 440 0 1 32 1024 16600 1 12 NA NA NA 441 0 1 49 2401 11000 1 7 NA NA NA 442 0 1 55 3025 15000 0 12 NA NA NA 443 0 1 36 1296 20528 1 9 NA NA NA 444 0 1 44 1936 13126 1 12 NA NA NA 445 0 1 44 1936 15550 1 10 NA NA NA 446 0 1 35 1225 18010 1 14 NA NA NA 447 0 1 44 1936 18874 1 14 NA NA NA 448 0 1 45 2025 24800 1 12 NA NA NA 449 0 1 34 1156 17500 1 12 NA NA NA 450 0 1 30 900 16150 1 17 NA NA NA 451 0 1 39 1521 15189 1 8 NA NA NA 452 0 1 36 1296 6000 1 12 NA NA NA 453 0 1 38 1444 37250 1 17 NA NA NA 454 0 1 53 2809 27760 0 12 NA NA NA 455 0 1 36 1296 9090 1 12 NA NA NA 456 0 1 32 1024 14500 1 12 NA NA NA 457 0 1 51 2601 19700 1 9 NA NA NA 458 0 1 38 1444 16788 0 11 NA NA NA 459 0 1 33 1089 18520 1 12 NA NA NA 460 0 1 54 2916 20950 0 12 NA NA NA 461 0 1 38 1444 7574 1 9 NA NA NA 462 0 1 30 900 10027 1 11 NA NA NA 463 0 1 34 1156 5000 1 12 NA NA NA 464 0 1 34 1156 7040 1 9 NA NA NA 465 0 1 50 2500 40800 1 12 NA NA NA 466 0 1 30 900 16050 1 17 NA NA NA 467 0 1 38 1444 33100 1 12 NA NA NA 468 0 1 54 2916 33856 0 14 NA NA NA 469 0 1 30 900 20500 1 12 NA NA NA 470 0 1 55 3025 28600 0 12 NA NA NA 471 0 1 51 2601 18750 1 10 NA NA NA 472 0 1 44 1936 20300 1 12 NA NA NA 473 0 1 53 2809 13420 0 12 NA NA NA 474 0 1 42 1764 18400 1 10 NA NA NA 475 0 1 38 1444 16682 1 12 NA NA NA 476 0 1 38 1444 32685 1 13 NA NA NA 477 0 1 41 1681 7050 1 12 NA NA NA 478 0 1 35 1225 10867 1 8 NA NA NA 479 0 1 33 1089 18220 1 12 NA NA NA 480 0 1 48 2304 26613 0 13 NA NA NA 481 0 1 47 2209 25000 0 12 NA NA NA 482 0 1 34 1156 15700 1 12 NA NA NA 483 0 1 33 1089 40250 1 13 NA NA NA 484 0 1 31 961 73600 1 13 NA NA NA 485 0 1 58 3364 10592 0 8 NA NA NA 486 0 1 49 2401 8000 0 12 NA NA NA 487 0 1 55 3025 13400 1 8 NA NA NA 488 0 1 44 1936 23700 0 14 NA NA NA 489 0 1 44 1936 18900 0 9 NA NA NA 490 0 1 36 1296 48300 1 16 NA NA NA 491 0 1 38 1444 24470 1 12 NA NA NA 492 0 1 37 1369 28630 1 16 NA NA NA 493 0 1 47 2209 25320 0 12 NA NA NA 494 0 1 47 2209 13530 1 12 NA NA NA 495 0 1 32 1024 14800 1 12 NA NA NA 496 0 1 43 1849 17400 1 12 NA NA NA 497 0 1 42 1764 15980 1 11 NA NA NA 498 0 1 56 3136 16576 0 12 NA NA NA 499 0 1 38 1444 21850 1 13 NA NA NA 500 0 1 52 2704 14600 1 12 NA NA NA 501 0 1 50 2500 21600 0 12 NA NA NA 502 0 1 33 1089 24000 0 16 NA NA NA 503 0 1 44 1936 20883 1 16 NA NA NA 504 0 1 41 1681 19500 1 12 NA NA NA 505 0 1 45 2025 42800 1 12 NA NA NA 506 0 1 53 2809 41500 0 14 NA NA NA 507 0 1 53 2809 18965 0 14 NA NA NA 508 0 1 42 1764 16100 1 12 NA NA NA 509 0 1 32 1024 14700 1 13 NA NA NA 510 0 1 56 3136 18800 0 12 NA NA NA 511 0 1 37 1369 14750 1 11 NA NA NA 512 0 1 40 1600 21000 1 12 NA NA NA 513 0 1 54 2916 35400 1 15 NA NA NA 514 0 1 53 2809 10700 0 7 NA NA NA 515 0 1 48 2304 24500 1 12 NA NA NA 516 0 1 36 1296 17045 1 12 NA NA NA 517 0 1 57 3249 18800 0 12 NA NA NA 518 0 1 51 2601 14000 0 12 NA NA NA 519 0 1 33 1089 18214 1 13 NA NA NA 520 0 1 52 2704 20177 0 12 NA NA NA 521 0 1 56 3136 8300 0 10 NA NA NA 522 0 1 36 1296 14200 1 12 NA NA NA 523 0 1 36 1296 21768 1 14 NA NA NA 524 0 1 46 2116 29553 1 12 NA NA NA 525 0 1 31 961 4350 1 10 NA NA NA 526 0 1 52 2704 24000 0 11 NA NA NA 527 0 1 46 2116 18300 1 12 NA NA NA 528 0 1 35 1225 17200 1 12 NA NA NA 529 0 1 59 3481 16476 0 12 NA NA NA 530 0 1 36 1296 13400 1 8 NA NA NA 531 0 1 51 2601 44988 1 7 NA NA NA 532 0 1 31 961 18200 1 16 NA NA NA 533 0 1 31 961 28000 1 14 NA NA NA 534 0 1 32 1024 11550 1 12 NA NA NA 535 0 1 35 1225 28450 1 16 NA NA NA 536 0 1 40 1600 15096 1 12 NA NA NA 537 0 1 33 1089 8009 1 10 NA NA NA 538 0 1 54 2916 10040 0 7 NA NA NA 539 0 1 36 1296 16700 1 12 NA NA NA 540 0 1 50 2500 8400 1 10 NA NA NA 541 0 1 54 2916 13000 0 8 NA NA NA 542 0 1 48 2304 17970 1 11 NA NA NA 543 0 1 41 1681 18450 1 15 NA NA NA 544 0 1 50 2500 31000 1 12 NA NA NA 545 0 1 46 2116 24135 1 12 NA NA NA 546 0 1 42 1764 31700 1 13 NA NA NA 547 0 1 31 961 10190 1 9 NA NA NA 548 0 1 53 2809 21574 0 12 NA NA NA 549 0 1 51 2601 26680 1 12 NA NA NA 550 0 1 47 2209 17700 1 12 NA NA NA 551 0 1 50 2500 29400 1 12 NA NA NA 552 0 1 37 1369 22159 1 6 NA NA NA 553 0 1 30 900 35000 1 12 NA NA NA 554 0 1 49 2401 8630 0 12 NA NA NA 555 0 1 52 2704 17080 1 12 NA NA NA 556 0 1 47 2209 32500 1 12 NA NA NA 557 0 1 49 2401 16000 0 12 NA NA NA 558 0 1 44 1936 18850 1 12 NA NA NA 559 0 1 53 2809 17500 0 8 NA NA NA 560 0 1 30 900 19392 1 12 NA NA NA 561 0 1 54 2916 14450 1 12 NA NA NA 562 0 1 47 2209 21800 1 7 NA NA NA 563 0 1 56 3136 7700 0 15 NA NA NA 564 0 1 49 2401 31800 1 12 NA NA NA 565 0 1 48 2304 17258 0 6 NA NA NA 566 0 1 49 2401 13399 1 12 NA NA NA 567 0 1 56 3136 16073 1 12 NA NA NA 568 0 1 46 2116 23260 0 12 NA NA NA 569 0 1 45 2025 37300 1 12 NA NA NA 570 0 1 32 1024 11000 1 12 NA NA NA 571 0 1 43 1849 13075 1 12 NA NA NA 572 0 1 34 1156 13700 1 12 NA NA NA 573 0 1 30 900 25100 1 12 NA NA NA 574 0 1 38 1444 18600 1 17 NA NA NA 575 0 1 33 1089 29000 1 16 NA NA NA 576 0 1 52 2704 19237 0 12 NA NA NA 577 0 1 43 1849 19855 1 11 NA NA NA 578 0 1 33 1089 9450 1 12 NA NA NA 579 0 1 45 2025 30000 0 10 NA NA NA 580 0 1 36 1296 15000 1 10 NA NA NA 581 0 1 34 1156 24701 1 12 NA NA NA 582 0 1 37 1369 15900 1 14 NA NA NA 583 0 1 46 2116 16240 1 10 NA NA NA 584 0 1 47 2209 21100 0 12 NA NA NA 585 0 1 31 961 23000 1 16 NA NA NA 586 0 1 57 3249 6340 0 5 NA NA NA 587 0 1 30 900 42250 1 12 NA NA NA 588 0 1 30 900 14694 0 12 NA NA NA 589 0 1 44 1936 21417 1 12 NA NA NA 590 0 1 53 2809 20200 0 13 NA NA NA 591 0 1 51 2601 12090 0 8 NA NA NA 592 0 1 39 1521 24760 1 12 NA NA NA 593 0 1 52 2704 23000 0 8 NA NA NA 594 0 1 46 2116 19365 1 8 NA NA NA 595 0 1 47 2209 5550 1 12 NA NA NA 596 0 1 52 2704 68035 1 8 NA NA NA 597 0 1 45 2025 29300 1 12 NA NA NA 598 0 1 60 3600 18500 0 11 NA NA NA 599 0 1 41 1681 22582 1 13 NA NA NA 600 0 1 39 1521 21500 1 8 NA NA NA 601 0 1 49 2401 28070 1 12 NA NA NA 602 0 1 32 1024 50300 1 15 NA NA NA 603 0 1 33 1089 23500 1 12 NA NA NA 604 0 1 36 1296 15500 1 10 NA NA NA 605 0 1 37 1369 13440 1 13 NA NA NA 606 0 1 30 900 8100 1 12 NA NA NA 607 0 1 44 1936 9800 1 11 NA NA NA 608 0 1 48 2304 20300 1 12 NA NA NA 609 0 1 40 1600 15000 1 11 NA NA NA 610 0 1 47 2209 56100 0 13 NA NA NA 611 0 1 36 1296 22846 1 12 NA NA NA 612 0 1 40 1600 22225 1 11 NA NA NA 613 0 1 46 2116 17635 1 12 NA NA NA 614 0 1 52 2704 18500 0 12 NA NA NA 615 0 1 44 1936 13390 1 12 NA NA NA 616 0 1 45 2025 15150 1 10 NA NA NA 617 0 1 30 900 16200 1 7 NA NA NA 618 0 1 40 1600 33920 1 12 NA NA NA 619 0 1 43 1849 14000 1 12 NA NA NA 620 0 1 49 2401 16736 1 12 NA NA NA 621 0 1 46 2116 30650 1 12 NA NA NA 622 0 1 52 2704 12400 0 11 NA NA NA 623 0 1 31 961 19022 1 12 NA NA NA 624 0 1 42 1764 11203 1 10 NA NA NA 625 0 1 33 1089 19876 1 11 NA NA NA 626 0 1 57 3249 57000 0 16 NA NA NA 627 0 1 49 2401 18290 0 10 NA NA NA 628 0 1 45 2025 20220 1 14 NA NA NA 629 0 1 56 3136 22150 0 11 NA NA NA 630 0 1 41 1681 30623 1 12 NA NA NA 631 0 1 56 3136 9380 0 5 NA NA NA 632 0 1 48 2304 22000 1 10 NA NA NA 633 0 1 52 2704 23675 1 16 NA NA NA 634 0 1 51 2601 33671 0 12 NA NA NA 635 0 1 35 1225 12367 1 11 NA NA NA 636 0 1 45 2025 21950 0 12 NA NA NA 637 0 1 54 2916 32000 0 12 NA NA NA 638 0 1 54 2916 22610 1 12 NA NA NA 639 0 1 31 961 12092 1 12 NA NA NA 640 0 1 53 2809 3777 1 6 NA NA NA 641 0 1 35 1225 36000 1 14 NA NA NA 642 0 1 36 1296 26900 1 12 NA NA NA 643 0 1 59 3481 32242 0 12 NA NA NA 644 0 1 54 2916 35020 0 16 NA NA NA 645 0 1 37 1369 37600 1 12 NA NA NA 646 0 1 44 1936 1500 0 12 NA NA NA 647 0 1 34 1156 96000 1 17 NA NA NA 648 0 1 49 2401 18150 0 12 NA NA NA 649 0 1 49 2401 15500 0 12 NA NA NA 650 0 1 60 3600 14000 0 9 NA NA NA 651 0 1 51 2601 14756 0 12 NA NA NA 652 0 1 30 900 22000 1 12 NA NA NA 653 0 1 47 2209 24466 1 12 NA NA NA 654 0 1 36 1296 24400 1 12 NA NA NA 655 0 1 35 1225 24000 1 12 NA NA NA 656 0 1 58 3364 15500 0 12 NA NA NA 657 0 1 41 1681 30800 1 14 NA NA NA 658 0 1 51 2601 10660 1 10 NA NA NA 659 0 1 47 2209 13350 0 12 NA NA NA 660 0 1 45 2025 10090 1 9 NA NA NA 661 0 1 60 3600 55600 0 14 NA NA NA 662 0 1 30 900 25700 1 16 NA NA NA 663 0 1 55 3025 29000 0 11 NA NA NA 664 0 1 32 1024 7286 1 12 NA NA NA 665 0 1 36 1296 37752 1 12 NA NA NA 666 0 1 55 3025 13072 0 12 NA NA NA 667 0 1 47 2209 7044 0 12 NA NA NA 668 0 1 47 2209 18200 1 12 NA NA NA 669 0 1 37 1369 27000 1 11 NA NA NA 670 0 1 50 2500 30300 1 12 NA NA NA 671 0 1 30 900 12000 1 12 NA NA NA 672 0 1 48 2304 31500 1 17 NA NA NA 673 0 1 43 1849 27092 1 10 NA NA NA 674 0 1 48 2304 20968 1 11 NA NA NA 675 0 1 41 1681 27000 1 14 NA NA NA 676 0 1 50 2500 11225 0 12 NA NA NA 677 0 1 58 3364 37700 0 8 NA NA NA 678 0 1 38 1444 28200 1 13 NA NA NA 679 0 1 37 1369 34000 1 12 NA NA NA 680 0 1 50 2500 63200 0 16 NA NA NA 681 0 1 42 1764 7500 1 8 NA NA NA 682 0 1 37 1369 17410 1 9 NA NA NA 683 0 1 41 1681 51000 1 16 NA NA NA 684 0 1 31 961 12916 1 12 NA NA NA 685 0 1 51 2601 21900 0 12 NA NA NA 686 0 1 36 1296 17640 1 12 NA NA NA 687 0 1 54 2916 20000 0 15 NA NA NA 688 0 1 49 2401 15000 0 12 NA NA NA 689 0 1 48 2304 14060 1 9 NA NA NA 690 0 1 42 1764 15825 1 9 NA NA NA 691 0 1 41 1681 16510 1 12 NA NA NA 692 0 1 55 3025 13000 0 16 NA NA NA 693 0 1 42 1764 10000 0 9 NA NA NA 694 0 1 32 1024 22000 1 15 NA NA NA 695 0 1 43 1849 29800 1 12 NA NA NA 696 0 1 33 1089 15000 1 12 NA NA NA 697 0 1 48 2304 22300 1 15 NA NA NA 698 0 1 43 1849 14550 1 12 NA NA NA 699 0 1 47 2209 19730 1 17 NA NA NA 700 0 1 54 2916 35000 0 12 NA NA NA 701 0 1 51 2601 21014 1 12 NA NA NA 702 0 1 51 2601 10876 1 10 NA NA NA 703 0 1 43 1849 27850 1 13 NA NA NA 704 0 1 53 2809 9560 0 12 NA NA NA 705 0 1 34 1156 30300 1 11 NA NA NA 706 0 1 31 961 7720 1 8 NA NA NA 707 0 1 56 3136 10550 0 12 NA NA NA 708 0 1 42 1764 24106 1 16 NA NA NA 709 0 1 32 1024 22995 1 12 NA NA NA 710 0 1 35 1225 6000 1 12 NA NA NA 711 0 1 30 900 24350 1 12 NA NA NA 712 0 1 51 2601 7608 0 10 NA NA NA 713 0 1 47 2209 28200 1 12 NA NA NA 714 0 1 54 2916 16150 1 12 NA NA NA 715 0 1 31 961 51200 1 15 NA NA NA 716 0 1 47 2209 12646 0 10 NA NA NA 717 0 1 47 2209 19000 1 14 NA NA NA 718 0 1 40 1600 19000 1 12 NA NA NA 719 0 1 48 2304 14400 0 8 NA NA NA 720 0 1 34 1156 7232 1 8 NA NA NA 721 0 1 38 1444 21943 1 12 NA NA NA 722 0 1 32 1024 47500 1 12 NA NA NA 723 0 1 48 2304 28900 1 16 NA NA NA 724 0 1 41 1681 12400 1 12 NA NA NA 725 0 1 49 2401 6531 1 5 NA NA NA 726 0 1 59 3481 22422 0 8 NA NA NA 727 0 1 58 3364 22200 0 13 NA NA NA 728 0 1 41 1681 77000 1 12 NA NA NA 729 0 1 45 2025 88000 1 12 NA NA NA 730 0 1 30 900 26040 1 14 NA NA NA 731 0 1 41 1681 63500 1 12 NA NA NA 732 0 1 30 900 12100 1 12 NA NA NA 733 0 1 53 2809 17505 1 12 NA NA NA 734 0 1 31 961 18000 0 12 NA NA NA 735 0 1 43 1849 28069 1 14 NA NA NA 736 0 1 31 961 14000 1 12 NA NA NA 737 0 1 51 2601 8117 0 12 NA NA NA 738 0 1 43 1849 11895 0 9 NA NA NA 739 0 1 31 961 45250 1 14 NA NA NA 740 0 1 48 2304 31106 0 11 NA NA NA 741 0 1 31 961 4000 1 12 NA NA NA 742 0 1 44 1936 40500 1 12 NA NA NA 743 0 1 48 2304 21620 1 11 NA NA NA 744 0 1 53 2809 23426 1 12 NA NA NA 745 0 1 42 1764 26000 1 10 NA NA NA 746 0 1 39 1521 7840 1 12 NA NA NA 747 0 1 32 1024 6800 1 10 NA NA NA 748 0 1 36 1296 5330 1 12 NA NA NA 749 0 1 40 1600 28200 1 13 NA NA NA 750 0 1 31 961 10000 1 12 NA NA NA 751 0 1 43 1849 9952 0 12 NA NA NA 752 0 1 60 3600 24984 0 12 NA NA NA 753 0 1 39 1521 28363 1 9 NA NA NA city invMillsRatio 1 0 0.738 2 1 0.766 3 0 0.683 4 0 0.732 5 1 0.612 6 1 0.768 7 0 0.459 8 0 0.769 9 0 0.814 10 0 0.671 11 0 0.677 12 0 0.727 13 0 0.784 14 1 0.713 15 1 0.794 16 1 0.748 17 1 0.708 18 1 0.675 19 1 0.492 20 0 0.685 21 0 0.453 22 0 0.528 23 1 0.492 24 0 0.505 25 1 0.769 26 1 0.418 27 1 1.070 28 1 0.711 29 0 0.460 30 0 0.454 31 1 0.700 32 1 0.802 33 0 0.610 34 1 0.913 35 1 0.505 36 0 0.764 37 1 0.504 38 0 0.883 39 0 0.519 40 1 0.267 41 0 0.783 42 1 0.913 43 1 0.514 44 0 0.808 45 0 0.777 46 0 0.733 47 1 0.567 48 0 0.496 49 0 0.634 50 0 0.809 51 1 0.732 52 1 0.999 53 0 0.683 54 1 0.959 55 0 0.826 56 1 0.318 57 1 0.660 58 1 0.225 59 1 0.667 60 1 0.692 61 0 0.517 62 1 0.699 63 1 0.792 64 1 0.541 65 1 0.705 66 0 0.648 67 0 0.489 68 1 0.463 69 1 0.664 70 0 0.926 71 1 0.460 72 1 0.642 73 1 1.198 74 1 0.833 75 1 0.767 76 1 0.810 77 0 0.733 78 1 0.361 79 1 0.574 80 1 0.946 81 1 1.002 82 0 1.023 83 1 0.874 84 1 0.729 85 0 0.871 86 1 0.704 87 1 1.004 88 1 0.975 89 1 0.512 90 0 0.684 91 1 0.697 92 1 0.718 93 1 0.674 94 1 0.788 95 0 0.748 96 0 0.749 97 1 0.715 98 1 0.640 99 0 0.512 100 0 0.621 101 1 0.695 102 0 0.653 103 1 0.773 104 1 0.440 105 0 0.692 106 1 0.649 107 0 0.566 108 0 0.772 109 1 0.707 110 1 0.661 111 1 0.482 112 1 0.685 113 1 0.499 114 1 0.252 115 1 0.664 116 1 0.644 117 1 0.569 118 1 0.711 119 1 0.279 120 1 0.612 121 1 0.947 122 0 0.500 123 0 0.708 124 0 0.515 125 1 0.276 126 0 0.690 127 1 0.506 128 0 0.722 129 0 0.802 130 0 0.929 131 0 0.755 132 0 0.817 133 1 0.697 134 1 0.571 135 1 0.786 136 1 0.782 137 1 0.647 138 1 0.560 139 1 0.708 140 1 0.592 141 1 0.969 142 1 0.295 143 1 0.581 144 0 0.929 145 1 0.884 146 1 0.717 147 1 0.764 148 1 0.633 149 1 0.815 150 1 0.448 151 0 0.407 152 1 0.540 153 1 0.691 154 1 0.540 155 1 0.265 156 1 0.446 157 0 0.760 158 1 0.279 159 0 0.705 160 1 0.694 161 1 0.749 162 1 0.434 163 1 0.580 164 0 0.499 165 1 0.492 166 1 0.892 167 1 0.270 168 1 0.352 169 1 0.717 170 0 0.515 171 0 0.758 172 1 1.058 173 1 0.764 174 1 0.587 175 1 0.707 176 1 0.954 177 0 0.471 178 0 0.499 179 0 0.862 180 1 0.768 181 1 0.552 182 1 0.712 183 1 0.821 184 1 0.536 185 1 0.659 186 0 0.734 187 1 0.250 188 1 0.793 189 0 0.716 190 1 0.541 191 0 0.774 192 0 0.738 193 1 0.722 194 1 0.918 195 1 0.619 196 1 0.654 197 0 0.670 198 1 0.629 199 1 0.638 200 1 0.427 201 1 0.618 202 1 0.438 203 1 0.274 204 0 0.760 205 0 0.642 206 0 0.927 207 1 0.701 208 0 0.700 209 1 0.437 210 0 0.419 211 1 0.626 212 0 0.712 213 1 0.686 214 0 1.258 215 0 0.717 216 0 0.348 217 1 0.681 218 0 0.781 219 1 0.501 220 0 0.824 221 1 0.774 222 1 0.761 223 0 0.511 224 0 0.671 225 1 0.490 226 1 0.422 227 1 0.677 228 1 0.401 229 1 0.653 230 0 0.701 231 0 0.674 232 0 0.951 233 0 0.754 234 1 0.707 235 0 0.692 236 1 0.662 237 1 1.120 238 1 0.798 239 1 0.379 240 1 0.388 241 1 0.579 242 1 0.646 243 1 0.715 244 1 0.688 245 1 0.757 246 0 0.692 247 1 0.940 248 1 0.778 249 0 0.645 250 1 0.508 251 1 0.547 252 0 1.065 253 1 0.407 254 1 0.698 255 1 0.690 256 1 0.642 257 1 0.614 258 1 1.013 259 0 0.672 260 1 0.805 261 1 0.723 262 1 0.468 263 1 0.573 264 1 0.482 265 0 1.217 266 1 0.803 267 1 0.694 268 1 0.683 269 1 0.600 270 0 0.478 271 0 0.712 272 0 0.886 273 0 1.175 274 0 0.705 275 0 0.415 276 1 0.355 277 1 0.667 278 0 0.669 279 1 0.420 280 1 0.612 281 1 0.548 282 1 0.681 283 1 0.743 284 1 0.475 285 1 0.579 286 1 0.534 287 1 0.563 288 1 0.727 289 1 0.641 290 1 0.801 291 1 0.468 292 1 0.400 293 0 0.388 294 1 0.620 295 0 0.888 296 1 0.560 297 1 0.639 298 1 0.780 299 1 0.559 300 1 0.425 301 0 0.499 302 0 0.435 303 0 0.752 304 1 0.511 305 1 0.729 306 0 0.656 307 1 0.731 308 1 1.022 309 1 0.650 310 1 0.651 311 1 0.887 312 1 0.611 313 1 0.644 314 1 0.721 315 1 0.499 316 0 0.632 317 0 0.529 318 0 0.726 319 1 0.451 320 0 0.796 321 1 0.496 322 1 0.529 323 0 0.908 324 0 0.608 325 1 0.783 326 0 0.910 327 1 0.895 328 0 0.628 329 0 0.717 330 1 0.395 331 1 0.675 332 0 0.258 333 0 0.898 334 0 0.819 335 1 0.759 336 0 0.736 337 0 0.478 338 1 0.680 339 1 0.661 340 1 0.859 341 1 0.529 342 1 0.621 343 1 0.598 344 0 0.728 345 0 0.473 346 1 0.324 347 1 0.487 348 1 0.633 349 1 1.236 350 1 0.192 351 1 0.466 352 1 0.668 353 0 0.690 354 1 0.711 355 1 0.423 356 1 0.464 357 1 0.249 358 1 0.735 359 1 0.954 360 0 0.708 361 1 0.671 362 1 0.507 363 1 0.545 364 1 0.624 365 1 0.774 366 0 0.940 367 0 0.691 368 1 0.490 369 1 0.356 370 0 0.526 371 0 0.521 372 0 0.707 373 1 0.601 374 0 0.708 375 0 0.878 376 0 0.692 377 1 0.674 378 0 0.485 379 1 0.647 380 1 1.020 381 0 0.500 382 0 0.580 383 0 0.468 384 0 0.792 385 0 0.700 386 0 0.175 387 0 0.835 388 1 0.730 389 1 0.409 390 1 0.446 391 0 1.192 392 0 0.532 393 0 0.616 394 1 0.431 395 1 0.541 396 1 0.580 397 0 1.244 398 0 0.274 399 1 0.663 400 1 0.471 401 1 0.565 402 0 0.947 403 1 0.513 404 1 0.693 405 1 0.682 406 1 0.663 407 1 0.696 408 1 0.668 409 0 0.446 410 1 0.718 411 0 0.697 412 1 0.405 413 0 0.745 414 1 0.547 415 1 0.536 416 1 0.625 417 0 0.387 418 0 0.938 419 0 0.688 420 0 0.739 421 1 0.849 422 1 0.728 423 0 0.464 424 0 0.800 425 1 0.634 426 1 0.609 427 1 0.683 428 1 0.777 429 NA NA 430 NA NA 431 NA NA 432 NA NA 433 NA NA 434 NA NA 435 NA NA 436 NA NA 437 NA NA 438 NA NA 439 NA NA 440 NA NA 441 NA NA 442 NA NA 443 NA NA 444 NA NA 445 NA NA 446 NA NA 447 NA NA 448 NA NA 449 NA NA 450 NA NA 451 NA NA 452 NA NA 453 NA NA 454 NA NA 455 NA NA 456 NA NA 457 NA NA 458 NA NA 459 NA NA 460 NA NA 461 NA NA 462 NA NA 463 NA NA 464 NA NA 465 NA NA 466 NA NA 467 NA NA 468 NA NA 469 NA NA 470 NA NA 471 NA NA 472 NA NA 473 NA NA 474 NA NA 475 NA NA 476 NA NA 477 NA NA 478 NA NA 479 NA NA 480 NA NA 481 NA NA 482 NA NA 483 NA NA 484 NA NA 485 NA NA 486 NA NA 487 NA NA 488 NA NA 489 NA NA 490 NA NA 491 NA NA 492 NA NA 493 NA NA 494 NA NA 495 NA NA 496 NA NA 497 NA NA 498 NA NA 499 NA NA 500 NA NA 501 NA NA 502 NA NA 503 NA NA 504 NA NA 505 NA NA 506 NA NA 507 NA NA 508 NA NA 509 NA NA 510 NA NA 511 NA NA 512 NA NA 513 NA NA 514 NA NA 515 NA NA 516 NA NA 517 NA NA 518 NA NA 519 NA NA 520 NA NA 521 NA NA 522 NA NA 523 NA NA 524 NA NA 525 NA NA 526 NA NA 527 NA NA 528 NA NA 529 NA NA 530 NA NA 531 NA NA 532 NA NA 533 NA NA 534 NA NA 535 NA NA 536 NA NA 537 NA NA 538 NA NA 539 NA NA 540 NA NA 541 NA NA 542 NA NA 543 NA NA 544 NA NA 545 NA NA 546 NA NA 547 NA NA 548 NA NA 549 NA NA 550 NA NA 551 NA NA 552 NA NA 553 NA NA 554 NA NA 555 NA NA 556 NA NA 557 NA NA 558 NA NA 559 NA NA 560 NA NA 561 NA NA 562 NA NA 563 NA NA 564 NA NA 565 NA NA 566 NA NA 567 NA NA 568 NA NA 569 NA NA 570 NA NA 571 NA NA 572 NA NA 573 NA NA 574 NA NA 575 NA NA 576 NA NA 577 NA NA 578 NA NA 579 NA NA 580 NA NA 581 NA NA 582 NA NA 583 NA NA 584 NA NA 585 NA NA 586 NA NA 587 NA NA 588 NA NA 589 NA NA 590 NA NA 591 NA NA 592 NA NA 593 NA NA 594 NA NA 595 NA NA 596 NA NA 597 NA NA 598 NA NA 599 NA NA 600 NA NA 601 NA NA 602 NA NA 603 NA NA 604 NA NA 605 NA NA 606 NA NA 607 NA NA 608 NA NA 609 NA NA 610 NA NA 611 NA NA 612 NA NA 613 NA NA 614 NA NA 615 NA NA 616 NA NA 617 NA NA 618 NA NA 619 NA NA 620 NA NA 621 NA NA 622 NA NA 623 NA NA 624 NA NA 625 NA NA 626 NA NA 627 NA NA 628 NA NA 629 NA NA 630 NA NA 631 NA NA 632 NA NA 633 NA NA 634 NA NA 635 NA NA 636 NA NA 637 NA NA 638 NA NA 639 NA NA 640 NA NA 641 NA NA 642 NA NA 643 NA NA 644 NA NA 645 NA NA 646 NA NA 647 NA NA 648 NA NA 649 NA NA 650 NA NA 651 NA NA 652 NA NA 653 NA NA 654 NA NA 655 NA NA 656 NA NA 657 NA NA 658 NA NA 659 NA NA 660 NA NA 661 NA NA 662 NA NA 663 NA NA 664 NA NA 665 NA NA 666 NA NA 667 NA NA 668 NA NA 669 NA NA 670 NA NA 671 NA NA 672 NA NA 673 NA NA 674 NA NA 675 NA NA 676 NA NA 677 NA NA 678 NA NA 679 NA NA 680 NA NA 681 NA NA 682 NA NA 683 NA NA 684 NA NA 685 NA NA 686 NA NA 687 NA NA 688 NA NA 689 NA NA 690 NA NA 691 NA NA 692 NA NA 693 NA NA 694 NA NA 695 NA NA 696 NA NA 697 NA NA 698 NA NA 699 NA NA 700 NA NA 701 NA NA 702 NA NA 703 NA NA 704 NA NA 705 NA NA 706 NA NA 707 NA NA 708 NA NA 709 NA NA 710 NA NA 711 NA NA 712 NA NA 713 NA NA 714 NA NA 715 NA NA 716 NA NA 717 NA NA 718 NA NA 719 NA NA 720 NA NA 721 NA NA 722 NA NA 723 NA NA 724 NA NA 725 NA NA 726 NA NA 727 NA NA 728 NA NA 729 NA NA 730 NA NA 731 NA NA 732 NA NA 733 NA NA 734 NA NA 735 NA NA 736 NA NA 737 NA NA 738 NA NA 739 NA NA 740 NA NA 741 NA NA 742 NA NA 743 NA NA 744 NA NA 745 NA NA 746 NA NA 747 NA NA 748 NA NA 749 NA NA 750 NA NA 751 NA NA 752 NA NA 753 NA NA > try( logLik( greene ) ) Error in logLik.selection(greene) : the logLik() method currently only works for models estimated by maximum likelihood (ML) but it does not work for models estimated by the 2-step method. > > # ML estimation > greeneMl <- selection( lfp ~ age + I( age^2 ) + faminc + kids + educ, + wage ~ exper + I( exper^2 ) + educ + city, Mroz87 ) > print( greeneMl ) Call: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) Coefficients: S:(Intercept) S:age S:I(age^2) S:faminc S:kidsTRUE -4.12e+00 1.84e-01 -2.41e-03 5.68e-06 -4.51e-01 S:educ O:(Intercept) O:exper O:I(exper^2) O:educ 9.53e-02 -1.96e+00 2.79e-02 -1.04e-04 4.57e-01 O:city sigma rho 4.47e-01 3.11e+00 -1.32e-01 > print(summary( greeneMl )) -------------------------------------------- Tobit 2 model (sample selection model) Maximum Likelihood estimation Newton-Raphson maximisation, 5 iterations Return code 8: successive function values within relative tolerance limit (reltol) Log-Likelihood: -1581 753 observations (325 censored and 428 observed) 13 free parameters (df = 740) Probit selection equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.12e+00 1.40e+00 -2.94 0.00337 ** age 1.84e-01 6.59e-02 2.79 0.00535 ** I(age^2) -2.41e-03 7.72e-04 -3.12 0.00189 ** faminc 5.68e-06 4.42e-06 1.29 0.19878 kidsTRUE -4.51e-01 1.30e-01 -3.46 0.00057 *** educ 9.53e-02 2.32e-02 4.12 4.3e-05 *** Outcome equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.963024 1.198221 -1.64 0.10 exper 0.027868 0.061551 0.45 0.65 I(exper^2) -0.000104 0.001839 -0.06 0.95 educ 0.457005 0.073230 6.24 7.3e-10 *** city 0.446529 0.315921 1.41 0.16 Error terms: Estimate Std. Error t value Pr(>|t|) sigma 3.108 0.114 27.3 <2e-16 *** rho -0.132 0.165 -0.8 0.42 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 -------------------------------------------- > print( coef( greeneMl ) ) S:(Intercept) S:age S:I(age^2) S:faminc S:kidsTRUE -4.12e+00 1.84e-01 -2.41e-03 5.68e-06 -4.51e-01 S:educ O:(Intercept) O:exper O:I(exper^2) O:educ 9.53e-02 -1.96e+00 2.79e-02 -1.04e-04 4.57e-01 O:city sigma rho 4.47e-01 3.11e+00 -1.32e-01 > print( coef( greeneMl, part = "outcome" ) ) (Intercept) exper I(exper^2) educ city -1.963024 0.027868 -0.000104 0.457005 0.446529 > print( coef( summary( greeneMl ) ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -4.12e+00 1.40e+00 -2.9416 3.37e-03 age 1.84e-01 6.59e-02 2.7937 5.35e-03 I(age^2) -2.41e-03 7.72e-04 -3.1189 1.89e-03 faminc 5.68e-06 4.42e-06 1.2862 1.99e-01 kidsTRUE -4.51e-01 1.30e-01 -3.4613 5.68e-04 educ 9.53e-02 2.32e-02 4.1152 4.30e-05 (Intercept) -1.96e+00 1.20e+00 -1.6383 1.02e-01 exper 2.79e-02 6.16e-02 0.4528 6.51e-01 I(exper^2) -1.04e-04 1.84e-03 -0.0565 9.55e-01 educ 4.57e-01 7.32e-02 6.2407 7.33e-10 city 4.47e-01 3.16e-01 1.4134 1.58e-01 sigma 3.11e+00 1.14e-01 27.3065 4.20e-114 rho -1.32e-01 1.65e-01 -0.7991 4.24e-01 > print( coef( summary( greeneMl ), part = "outcome" ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -1.963024 1.19822 -1.6383 1.02e-01 exper 0.027868 0.06155 0.4528 6.51e-01 I(exper^2) -0.000104 0.00184 -0.0565 9.55e-01 educ 0.457005 0.07323 6.2407 7.33e-10 city 0.446529 0.31592 1.4134 1.58e-01 > print( vcov( greeneMl ) ) (Intercept) age I(age^2) faminc kidsTRUE educ (Intercept) 1.96e+00 -8.93e-02 1.02e-03 7.29e-07 1.86e-02 -8.80e-03 age -8.93e-02 4.34e-03 -5.06e-05 -2.94e-08 -1.98e-03 1.33e-04 I(age^2) 1.02e-03 -5.06e-05 5.96e-07 3.03e-10 2.92e-05 -1.35e-06 faminc 7.29e-07 -2.94e-08 3.03e-10 1.95e-11 -3.84e-08 -3.83e-08 kidsTRUE 1.86e-02 -1.98e-03 2.92e-05 -3.84e-08 1.69e-02 -1.57e-05 educ -8.80e-03 1.33e-04 -1.35e-06 -3.83e-08 -1.57e-05 5.36e-04 (Intercept) 2.34e-02 -1.95e-03 2.58e-05 1.03e-06 4.50e-04 -1.18e-03 exper 1.15e-03 -5.82e-05 6.76e-07 -8.95e-09 5.04e-05 1.97e-05 I(exper^2) -3.25e-05 1.76e-06 -2.15e-08 3.01e-10 -6.05e-07 -7.25e-07 educ -6.91e-04 9.65e-05 -1.25e-06 -3.99e-08 -4.47e-05 -5.74e-06 city 4.67e-04 -6.44e-06 -6.78e-08 -2.51e-08 -3.16e-06 4.25e-05 sigma 2.63e-03 -1.27e-04 1.61e-06 5.20e-08 6.16e-05 -1.27e-04 rho -1.06e-02 5.06e-04 -6.41e-06 -2.26e-07 -1.47e-04 5.42e-04 (Intercept) exper I(exper^2) educ city sigma (Intercept) 2.34e-02 1.15e-03 -3.25e-05 -6.91e-04 4.67e-04 2.63e-03 age -1.95e-03 -5.82e-05 1.76e-06 9.65e-05 -6.44e-06 -1.27e-04 I(age^2) 2.58e-05 6.76e-07 -2.15e-08 -1.25e-06 -6.78e-08 1.61e-06 faminc 1.03e-06 -8.95e-09 3.01e-10 -3.99e-08 -2.51e-08 5.20e-08 kidsTRUE 4.50e-04 5.04e-05 -6.05e-07 -4.47e-05 -3.16e-06 6.16e-05 educ -1.18e-03 1.97e-05 -7.25e-07 -5.74e-06 4.25e-05 -1.27e-04 (Intercept) 1.44e+00 -2.54e-02 6.56e-04 -7.62e-02 -1.91e-02 3.33e-02 exper -2.54e-02 3.79e-03 -1.08e-04 -1.85e-05 -9.11e-04 -2.78e-04 I(exper^2) 6.56e-04 -1.08e-04 3.38e-06 1.02e-06 2.47e-05 9.11e-06 educ -7.62e-02 -1.85e-05 1.02e-06 5.36e-03 -3.16e-03 -1.33e-03 city -1.91e-02 -9.11e-04 2.47e-05 -3.16e-03 9.98e-02 -1.64e-04 sigma 3.33e-02 -2.78e-04 9.11e-06 -1.33e-03 -1.64e-04 1.30e-02 rho -1.26e-01 1.06e-03 -3.46e-05 5.01e-03 6.25e-04 -6.76e-03 rho (Intercept) -1.06e-02 age 5.06e-04 I(age^2) -6.41e-06 faminc -2.26e-07 kidsTRUE -1.47e-04 educ 5.42e-04 (Intercept) -1.26e-01 exper 1.06e-03 I(exper^2) -3.46e-05 educ 5.01e-03 city 6.25e-04 sigma -6.76e-03 rho 2.73e-02 > print( vcov( greeneMl, part = "outcome" ) ) (Intercept) exper I(exper^2) educ city (Intercept) 1.435733 -2.54e-02 6.56e-04 -7.62e-02 -1.91e-02 exper -0.025432 3.79e-03 -1.08e-04 -1.85e-05 -9.11e-04 I(exper^2) 0.000656 -1.08e-04 3.38e-06 1.02e-06 2.47e-05 educ -0.076177 -1.85e-05 1.02e-06 5.36e-03 -3.16e-03 city -0.019088 -9.11e-04 2.47e-05 -3.16e-03 9.98e-02 > all.equal( nobs( greene ), nobs( greeneMl ) ) [1] TRUE > all.equal( nObs( greene ), nObs( greeneMl ) ) [1] TRUE > fitted( greeneMl, part = "outcome" ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 3.89 4.10 3.92 3.68 5.07 4.77 5.64 4.37 4.13 4.06 3.92 3.43 3.52 4.34 3.22 3.75 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 4.48 4.13 4.55 3.76 5.49 3.82 4.89 3.92 4.08 6.79 4.73 4.21 6.00 3.71 4.30 6.09 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 4.40 4.34 6.47 3.06 4.41 3.31 5.04 6.55 3.55 4.34 5.96 3.79 3.68 3.63 6.06 4.08 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 3.94 3.68 4.29 4.75 3.92 2.58 3.43 6.04 5.77 6.52 5.73 4.13 4.93 4.24 2.43 4.36 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 4.29 2.01 6.18 4.26 4.21 4.13 4.29 4.31 3.32 3.35 4.31 4.46 3.58 6.86 5.58 4.13 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 1.79 5.18 4.24 5.05 2.87 6.97 5.29 3.09 5.55 3.87 4.39 4.26 4.36 4.13 3.87 4.08 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 4.58 4.48 3.68 4.03 4.02 3.89 4.21 6.09 3.76 4.59 3.56 4.18 4.46 4.05 6.44 5.58 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 6.14 6.49 4.36 4.03 4.69 4.21 6.28 3.27 4.92 3.65 3.60 5.69 6.47 3.96 5.91 3.92 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 5.64 1.88 3.52 3.52 4.24 4.64 3.57 4.08 4.13 5.35 4.05 4.53 4.77 6.95 5.47 4.20 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 2.89 4.13 4.26 4.34 5.33 6.24 6.18 5.63 4.16 6.01 6.42 6.47 3.63 6.43 4.59 4.26 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 4.00 6.04 5.37 5.72 4.53 2.76 6.84 5.28 4.13 3.82 3.12 4.53 4.24 3.42 4.29 1.01 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 6.15 3.53 3.74 4.26 5.12 3.75 4.34 5.12 4.02 2.93 6.19 4.72 3.71 4.21 4.01 3.36 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 4.18 2.94 4.53 4.16 4.01 4.34 4.79 5.88 4.21 5.99 6.44 3.89 4.24 2.64 4.34 3.94 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 4.69 3.84 4.58 3.68 4.21 2.98 4.18 5.54 4.08 3.46 4.55 2.63 4.69 4.21 3.68 3.82 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 6.24 6.42 4.16 6.31 4.58 3.63 3.82 2.32 3.82 4.48 4.01 4.16 2.19 4.48 6.52 6.74 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 4.41 4.74 4.26 4.13 4.24 3.63 2.65 3.40 4.06 6.04 4.53 1.75 6.29 4.53 4.21 3.88 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 4.59 4.58 3.55 3.40 4.05 6.52 5.76 6.04 3.10 3.62 4.24 4.10 5.07 5.43 5.34 2.11 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 1.58 3.55 3.71 5.28 4.24 3.58 4.46 5.51 6.43 4.16 4.36 4.26 5.06 4.92 3.16 4.34 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 4.46 4.44 4.34 5.18 5.92 3.77 2.69 4.58 4.46 6.56 4.67 6.65 4.20 6.15 3.17 6.06 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 3.73 4.09 3.98 2.22 3.80 4.18 3.32 7.06 4.46 4.82 6.79 4.63 3.99 3.63 4.29 3.94 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 4.34 4.05 2.18 3.28 4.29 3.68 4.21 3.58 3.68 6.49 4.39 6.37 4.18 2.90 4.26 3.92 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 3.87 4.13 4.48 4.41 6.01 4.77 4.82 3.89 5.72 6.42 4.58 5.15 4.02 6.49 4.55 5.20 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 3.74 4.39 6.52 5.99 6.29 4.02 2.84 3.89 4.21 6.21 5.07 4.13 4.53 3.31 3.76 6.17 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 6.70 6.13 4.78 3.74 5.15 3.94 2.63 3.68 4.53 5.57 4.08 2.08 5.54 4.80 3.94 3.00 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 4.11 5.84 2.72 4.29 5.20 4.60 1.15 5.26 3.82 6.44 5.35 4.53 1.67 5.69 5.25 5.78 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 5.02 1.75 4.88 4.05 4.51 4.48 4.46 4.08 4.01 2.43 3.89 6.47 3.87 4.58 4.91 4.45 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 5.89 1.80 4.06 3.33 4.31 4.21 6.18 2.66 4.51 4.99 4.34 4.16 NA NA NA NA 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 753 NA > fitted( greeneMl, part = "selection" ) 1 2 3 4 5 6 7 8 9 10 11 12 13 0.535 0.520 0.572 0.535 0.621 0.519 0.721 0.518 0.489 0.580 0.582 0.548 0.505 14 15 16 17 18 19 20 21 22 23 24 25 26 0.551 0.508 0.531 0.555 0.577 0.702 0.571 0.728 0.676 0.702 0.690 0.513 0.751 27 28 29 30 31 32 33 34 35 36 37 38 39 0.344 0.557 0.722 0.727 0.558 0.493 0.622 0.430 0.691 0.519 0.694 0.449 0.684 40 41 42 43 44 45 46 47 48 49 50 51 52 0.855 0.506 0.433 0.684 0.493 0.511 0.534 0.648 0.698 0.607 0.486 0.544 0.382 53 54 55 56 57 58 59 60 61 62 63 64 65 0.571 0.404 0.481 0.818 0.592 0.882 0.587 0.563 0.690 0.562 0.505 0.666 0.554 66 67 68 69 70 71 72 73 74 75 76 77 78 0.600 0.698 0.721 0.588 0.421 0.725 0.606 0.287 0.476 0.515 0.492 0.539 0.785 79 80 81 82 83 84 85 86 87 88 89 90 91 0.640 0.419 0.383 0.364 0.453 0.544 0.451 0.559 0.377 0.394 0.697 0.569 0.566 92 93 94 95 96 97 98 99 100 101 102 103 104 0.548 0.584 0.509 0.530 0.527 0.555 0.605 0.691 0.616 0.561 0.596 0.516 0.755 105 106 107 108 109 110 111 112 113 114 115 116 117 0.566 0.595 0.651 0.516 0.558 0.589 0.702 0.572 0.696 0.868 0.600 0.598 0.651 118 119 120 121 122 123 124 125 126 127 128 129 130 0.558 0.860 0.626 0.416 0.696 0.555 0.684 0.849 0.567 0.689 0.545 0.492 0.425 131 132 133 134 135 136 137 138 139 140 141 142 143 0.525 0.488 0.563 0.653 0.509 0.509 0.600 0.654 0.557 0.637 0.402 0.839 0.637 144 145 146 147 148 149 150 151 152 153 154 155 156 0.419 0.454 0.544 0.519 0.612 0.496 0.730 0.759 0.667 0.569 0.662 0.858 0.737 157 158 159 160 161 162 163 164 165 166 167 168 169 0.515 0.845 0.556 0.564 0.528 0.742 0.640 0.690 0.704 0.441 0.852 0.805 0.548 170 171 172 173 174 175 176 177 178 179 180 181 182 0.687 0.522 0.351 0.518 0.637 0.560 0.412 0.713 0.696 0.468 0.529 0.660 0.557 183 184 185 186 187 188 189 190 191 192 193 194 195 0.483 0.673 0.590 0.550 0.866 0.499 0.550 0.664 0.514 0.537 0.544 0.433 0.619 196 197 198 199 200 201 202 203 204 205 206 207 208 0.594 0.582 0.611 0.605 0.750 0.624 0.742 0.849 0.525 0.600 0.421 0.561 0.561 209 210 211 212 213 214 215 216 217 218 219 220 221 0.739 0.755 0.608 0.549 0.569 0.253 0.545 0.794 0.574 0.509 0.693 0.480 0.520 222 223 224 225 226 227 228 229 230 231 232 233 234 0.526 0.685 0.581 0.706 0.748 0.579 0.765 0.598 0.556 0.578 0.410 0.529 0.553 235 236 237 238 239 240 241 242 243 244 245 246 247 0.563 0.593 0.321 0.503 0.780 0.774 0.638 0.600 0.553 0.566 0.525 0.564 0.417 248 249 250 251 252 253 254 255 256 257 258 259 260 0.521 0.598 0.693 0.676 0.346 0.762 0.560 0.569 0.600 0.620 0.373 0.588 0.494 261 262 263 264 265 266 267 268 269 270 271 272 273 0.554 0.719 0.642 0.716 0.275 0.494 0.572 0.571 0.636 0.705 0.559 0.455 0.294 274 275 276 277 278 279 280 281 282 283 284 285 286 0.554 0.759 0.793 0.585 0.582 0.754 0.614 0.659 0.572 0.538 0.730 0.657 0.681 287 288 289 290 291 292 293 294 295 296 297 298 299 0.655 0.539 0.607 0.504 0.721 0.761 0.779 0.620 0.442 0.659 0.607 0.511 0.664 300 301 302 303 304 305 306 307 308 309 310 311 312 0.749 0.698 0.737 0.525 0.684 0.544 0.586 0.542 0.369 0.598 0.597 0.448 0.619 313 314 315 316 317 318 319 320 321 322 323 324 325 0.602 0.548 0.696 0.606 0.677 0.540 0.742 0.498 0.704 0.673 0.432 0.634 0.506 326 327 328 329 330 331 332 333 334 335 336 337 338 0.433 0.450 0.616 0.552 0.768 0.579 0.859 0.436 0.484 0.520 0.537 0.713 0.574 339 340 341 342 343 344 345 346 347 348 349 350 351 0.588 0.459 0.677 0.614 0.635 0.542 0.709 0.819 0.706 0.598 0.267 0.906 0.727 352 353 354 355 356 357 358 359 360 361 362 363 364 0.578 0.567 0.551 0.752 0.719 0.867 0.537 0.411 0.550 0.585 0.694 0.665 0.619 365 366 367 368 369 370 371 372 373 374 375 376 377 0.511 0.416 0.565 0.703 0.805 0.683 0.687 0.559 0.627 0.555 0.448 0.563 0.575 378 379 380 381 382 383 384 385 386 387 388 389 390 0.702 0.606 0.375 0.687 0.641 0.717 0.505 0.558 0.922 0.474 0.541 0.759 0.736 391 392 393 394 395 396 397 398 399 400 401 402 403 0.288 0.669 0.617 0.739 0.671 0.648 0.266 0.848 0.593 0.719 0.652 0.432 0.690 404 405 406 407 408 409 410 411 412 413 414 415 416 0.567 0.576 0.586 0.568 0.584 0.731 0.560 0.563 0.758 0.532 0.657 0.674 0.608 417 418 419 420 421 422 423 424 425 426 427 428 429 0.775 0.416 0.566 0.537 0.467 0.545 0.716 0.499 0.611 0.626 0.576 0.511 0.470 430 431 432 433 434 435 436 437 438 439 440 441 442 0.670 0.522 0.607 0.540 0.562 0.627 0.302 0.405 0.495 0.479 0.536 0.272 0.477 443 444 445 446 447 448 449 450 451 452 453 454 455 0.463 0.532 0.462 0.639 0.620 0.547 0.557 0.689 0.417 0.544 0.781 0.567 0.551 456 457 458 459 460 461 462 463 464 465 466 467 468 0.531 0.315 0.705 0.551 0.522 0.438 0.455 0.529 0.420 0.494 0.689 0.609 0.625 469 470 471 472 473 474 475 476 477 478 479 480 481 0.517 0.508 0.348 0.548 0.535 0.487 0.572 0.644 0.543 0.399 0.550 0.710 0.689 482 483 484 485 486 487 488 489 490 491 492 493 494 0.553 0.635 0.683 0.234 0.619 0.185 0.783 0.610 0.768 0.590 0.735 0.690 0.491 495 496 497 498 499 500 501 502 503 504 505 506 507 0.532 0.552 0.519 0.448 0.621 0.387 0.628 0.839 0.694 0.571 0.587 0.669 0.621 508 509 510 511 512 513 514 515 516 517 518 519 520 0.557 0.569 0.453 0.529 0.579 0.489 0.343 0.498 0.569 0.418 0.588 0.588 0.577 521 522 523 524 525 526 527 528 529 530 531 532 533 0.356 0.562 0.652 0.543 0.420 0.548 0.518 0.564 0.341 0.409 0.299 0.673 0.623 534 535 536 537 538 539 540 541 542 543 544 545 546 0.524 0.728 0.566 0.451 0.315 0.568 0.348 0.355 0.445 0.677 0.471 0.531 0.629 547 548 549 550 551 552 553 554 555 556 557 558 559 0.395 0.553 0.438 0.501 0.468 0.359 0.550 0.620 0.392 0.534 0.636 0.545 0.393 560 561 562 563 564 565 566 567 568 569 570 571 572 0.514 0.333 0.326 0.542 0.495 0.434 0.453 0.279 0.700 0.575 0.523 0.542 0.549 573 574 575 576 577 578 579 580 581 582 583 584 585 0.527 0.748 0.715 0.575 0.520 0.530 0.658 0.488 0.574 0.642 0.437 0.681 0.682 586 587 588 589 590 591 592 593 594 595 596 597 598 0.173 0.566 0.677 0.551 0.587 0.433 0.590 0.432 0.371 0.473 0.357 0.557 0.275 599 600 601 602 603 604 605 606 607 608 609 610 611 0.615 0.431 0.486 0.715 0.562 0.489 0.601 0.489 0.487 0.489 0.528 0.778 0.581 612 613 614 615 616 617 618 619 620 621 622 623 624 0.544 0.516 0.573 0.533 0.449 0.323 0.607 0.544 0.461 0.546 0.522 0.528 0.470 625 626 627 628 629 630 631 632 633 634 635 636 637 0.516 0.652 0.568 0.611 0.423 0.596 0.201 0.417 0.557 0.631 0.515 0.709 0.547 638 639 640 641 642 643 644 645 646 647 648 649 650 0.350 0.513 0.161 0.677 0.590 0.374 0.697 0.617 0.679 0.857 0.641 0.635 0.208 651 652 653 654 655 656 657 658 659 660 661 662 663 0.590 0.520 0.516 0.585 0.579 0.375 0.668 0.331 0.665 0.400 0.460 0.675 0.471 664 665 666 667 668 669 670 671 672 673 674 675 676 0.515 0.614 0.473 0.652 0.502 0.557 0.470 0.498 0.695 0.498 0.452 0.660 0.605 677 678 679 680 681 682 683 684 685 686 687 688 689 0.283 0.634 0.609 0.827 0.388 0.459 0.770 0.514 0.606 0.570 0.632 0.634 0.363 690 691 692 693 694 695 696 697 698 699 700 701 702 0.443 0.565 0.623 0.608 0.658 0.580 0.543 0.606 0.546 0.688 0.554 0.426 0.331 703 704 705 706 707 708 709 710 711 712 713 714 715 0.612 0.526 0.549 0.354 0.434 0.716 0.550 0.539 0.526 0.498 0.524 0.336 0.705 716 717 718 719 720 721 722 723 724 725 726 727 728 0.592 0.579 0.574 0.503 0.384 0.584 0.604 0.656 0.555 0.205 0.224 0.427 0.694 729 730 731 732 733 734 735 736 737 738 739 740 741 0.683 0.604 0.666 0.498 0.367 0.697 0.649 0.517 0.575 0.604 0.659 0.651 0.494 742 743 744 745 746 747 748 749 750 751 752 753 0.593 0.454 0.379 0.504 0.552 0.438 0.542 0.631 0.508 0.705 0.321 0.485 > residuals( greeneMl, part = "outcome" ) 1 2 3 4 5 6 7 8 9 10 -0.5368 -2.7154 0.6298 -2.5880 -0.4798 -0.0320 2.6903 3.4739 -2.0039 0.6270 11 12 13 14 15 16 17 18 19 20 0.1473 1.1580 -1.4377 -2.0706 0.4627 -2.4058 -1.2691 1.0440 -2.5536 3.7895 21 22 23 24 25 26 27 28 29 30 -1.9806 -0.2436 -1.6425 -0.6657 -1.9229 -3.0041 -0.7317 0.5169 1.2598 2.1561 31 32 33 34 35 36 37 38 39 40 -2.7575 -3.6306 1.4538 -0.7660 -2.6655 -0.6002 -2.0360 1.2292 0.5742 8.0844 41 42 43 44 45 46 47 48 49 50 -0.8702 -0.4180 -3.3862 0.7482 -1.6845 -0.1586 -4.0478 0.4877 -1.6676 -1.0470 51 52 53 54 55 56 57 58 59 60 -1.9971 -3.6541 -2.7392 -0.9833 -1.5583 -1.9943 3.8649 1.5200 -1.1307 -1.9881 61 62 63 64 65 66 67 68 69 70 -0.5271 -0.7005 0.2839 1.8878 7.6460 1.5806 0.7685 -1.3448 -1.1331 -0.3801 71 72 73 74 75 76 77 78 79 80 1.4389 -0.6366 1.8474 4.8762 0.0242 0.5223 -3.2193 -3.8942 -4.5810 -1.5756 81 82 83 84 85 86 87 88 89 90 -0.9282 -4.1776 -1.3098 -1.4989 -1.2445 1.3599 -2.1980 -0.3886 -0.3028 -2.4504 91 92 93 94 95 96 97 98 99 100 0.4117 -2.5948 -3.2405 -3.6310 -3.1515 -1.2878 0.2817 -2.7364 -1.2214 -1.6121 101 102 103 104 105 106 107 108 109 110 -2.4884 -1.0090 -1.8031 -0.8570 -0.0134 -3.1991 0.4440 -0.9441 -1.0582 -2.7169 111 112 113 114 115 116 117 118 119 120 2.8597 -1.0805 -1.5168 -2.5393 1.4518 -3.5264 -0.6068 1.7900 -2.6137 0.5914 121 122 123 124 125 126 127 128 129 130 -2.1537 -0.7191 0.7847 -0.2771 3.3922 -3.8032 -5.5228 -0.2793 -3.2683 2.7837 131 132 133 134 135 136 137 138 139 140 -1.6691 1.6790 -0.9373 3.8924 -1.5024 -1.5133 -1.9435 0.9004 -0.7169 -0.0860 141 142 143 144 145 146 147 148 149 150 1.8594 1.4709 -1.0720 -1.7521 -1.6660 -2.5060 -1.2615 0.3895 -4.1960 1.1631 151 152 153 154 155 156 157 158 159 160 -1.7164 -3.1601 -2.2752 -2.0119 1.7739 0.6279 -1.9641 -2.9824 -0.3524 -1.4837 161 162 163 164 165 166 167 168 169 170 -2.1134 -1.0028 -4.1236 -2.8618 -0.4137 -0.9822 6.7154 -0.7135 -2.0033 -0.8259 171 172 173 174 175 176 177 178 179 180 -0.5540 1.0818 -1.4305 -1.8164 -2.0370 1.0216 -0.6188 -1.9475 0.0506 -1.2615 181 182 183 184 185 186 187 188 189 190 3.5298 0.4575 0.3501 -1.0256 20.9771 -0.2934 -0.1902 0.6940 -3.0468 -2.9600 191 192 193 194 195 196 197 198 199 200 -1.7376 0.1035 -0.0172 1.5274 -2.7844 -0.4882 2.5696 -1.7374 0.0707 -0.0913 201 202 203 204 205 206 207 208 209 210 0.3308 3.5201 4.1954 -2.7797 -0.1878 0.0451 -1.3612 -0.7675 -1.1429 14.0665 211 212 213 214 215 216 217 218 219 220 -1.1592 -0.3512 -0.3240 -0.6657 -2.4646 -3.4247 5.8557 -0.4310 -2.6931 -2.5066 221 222 223 224 225 226 227 228 229 230 1.9443 1.4291 -2.0855 -1.1483 1.6815 -1.0763 -0.1576 -0.2630 1.6734 -0.6546 231 232 233 234 235 236 237 238 239 240 0.4189 1.1668 1.1495 -1.7107 -0.3545 1.2359 -1.5385 0.2854 2.0342 3.7144 241 242 243 244 245 246 247 248 249 250 -1.7738 2.1053 0.8257 -3.1695 0.0707 3.4359 -0.1266 4.4964 0.0884 2.1366 251 252 253 254 255 256 257 258 259 260 5.0627 0.2681 1.3342 -1.3369 -2.6100 0.2180 -3.1065 -0.9402 -2.5488 -0.7941 261 262 263 264 265 266 267 268 269 270 -2.3002 -1.7209 -0.2279 -1.9396 -1.8490 -1.9537 -0.4458 -1.7407 5.1324 1.3865 271 272 273 274 275 276 277 278 279 280 1.8705 0.3361 -0.3820 -1.9078 -1.9289 -2.3350 0.7330 -1.7159 3.5761 -1.5418 281 282 283 284 285 286 287 288 289 290 -3.3858 -1.2506 -1.3010 0.6351 -1.0403 0.6390 -1.9407 -1.6535 -1.7858 4.8939 291 292 293 294 295 296 297 298 299 300 -1.1993 -4.6330 2.6952 -0.1057 -0.3710 -1.6946 -1.2930 -2.9139 1.5835 3.6018 301 302 303 304 305 306 307 308 309 310 -0.9882 1.5014 -1.2014 -1.3659 -1.6035 -1.7546 -1.5889 -0.9658 -2.7107 -0.4339 311 312 313 314 315 316 317 318 319 320 -0.0147 -1.9239 2.1731 -0.2512 5.0560 -0.8750 0.3761 0.3025 -0.9537 -0.6244 321 322 323 324 325 326 327 328 329 330 -0.7758 -2.4502 0.0477 1.5034 1.5195 -1.3260 -2.2100 -1.6764 1.4385 -1.0005 331 332 333 334 335 336 337 338 339 340 1.9349 0.7740 -1.8004 -0.3581 -2.0817 -1.3157 -0.1364 0.2440 -0.0401 -0.1236 341 342 343 344 345 346 347 348 349 350 -4.3452 -1.5135 0.5921 -1.6858 -1.6564 -5.7679 0.8060 -4.9790 19.4441 3.0835 351 352 353 354 355 356 357 358 359 360 -0.8588 -2.9788 -1.9883 -3.2275 0.4692 -2.0173 15.1414 -3.5467 -0.6885 -2.0330 361 362 363 364 365 366 367 368 369 370 0.1195 2.7137 -2.2938 -1.4745 -2.0304 14.9606 -2.9444 -4.1654 8.6887 0.3520 371 372 373 374 375 376 377 378 379 380 3.5535 0.8130 -2.6541 0.5394 -0.4024 -1.6135 -2.8584 -2.1563 -1.5774 1.8837 381 382 383 384 385 386 387 388 389 390 0.6885 -0.8762 -1.0403 1.0799 -1.2571 1.1742 0.2220 -2.3639 1.6740 -0.6992 391 392 393 394 395 396 397 398 399 400 0.8512 -0.2856 -2.6131 16.0574 1.5181 -0.9731 0.3113 -0.3225 -3.5072 -0.6875 401 402 403 404 405 406 407 408 409 410 -2.5183 2.0767 -3.8816 -0.9785 -2.7907 -0.4625 0.9989 20.9226 -1.6233 0.7799 411 412 413 414 415 416 417 418 419 420 -0.5138 -4.6911 -0.7025 -1.8739 -3.2166 -4.2386 0.8782 -0.0621 -1.5605 1.1536 421 422 423 424 425 426 427 428 429 430 -1.7403 -0.7500 -1.3933 -0.3505 0.7991 0.8801 -0.9283 -0.0760 NA NA 431 432 433 434 435 436 437 438 439 440 NA NA NA NA NA NA NA NA NA NA 441 442 443 444 445 446 447 448 449 450 NA NA NA NA NA NA NA NA NA NA 451 452 453 454 455 456 457 458 459 460 NA NA NA NA NA NA NA NA NA NA 461 462 463 464 465 466 467 468 469 470 NA NA NA NA NA NA NA NA NA NA 471 472 473 474 475 476 477 478 479 480 NA NA NA NA NA NA NA NA NA NA 481 482 483 484 485 486 487 488 489 490 NA NA NA NA NA NA NA NA NA NA 491 492 493 494 495 496 497 498 499 500 NA NA NA NA NA NA NA NA NA NA 501 502 503 504 505 506 507 508 509 510 NA NA NA NA NA NA NA NA NA NA 511 512 513 514 515 516 517 518 519 520 NA NA NA NA NA NA NA NA NA NA 521 522 523 524 525 526 527 528 529 530 NA NA NA NA NA NA NA NA NA NA 531 532 533 534 535 536 537 538 539 540 NA NA NA NA NA NA NA NA NA NA 541 542 543 544 545 546 547 548 549 550 NA NA NA NA NA NA NA NA NA NA 551 552 553 554 555 556 557 558 559 560 NA NA NA NA NA NA NA NA NA NA 561 562 563 564 565 566 567 568 569 570 NA NA NA NA NA NA NA NA NA NA 571 572 573 574 575 576 577 578 579 580 NA NA NA NA NA NA NA NA NA NA 581 582 583 584 585 586 587 588 589 590 NA NA NA NA NA NA NA NA NA NA 591 592 593 594 595 596 597 598 599 600 NA NA NA NA NA NA NA NA NA NA 601 602 603 604 605 606 607 608 609 610 NA NA NA NA NA NA NA NA NA NA 611 612 613 614 615 616 617 618 619 620 NA NA NA NA NA NA NA NA NA NA 621 622 623 624 625 626 627 628 629 630 NA NA NA NA NA NA NA NA NA NA 631 632 633 634 635 636 637 638 639 640 NA NA NA NA NA NA NA NA NA NA 641 642 643 644 645 646 647 648 649 650 NA NA NA NA NA NA NA NA NA NA 651 652 653 654 655 656 657 658 659 660 NA NA NA NA NA NA NA NA NA NA 661 662 663 664 665 666 667 668 669 670 NA NA NA NA NA NA NA NA NA NA 671 672 673 674 675 676 677 678 679 680 NA NA NA NA NA NA NA NA NA NA 681 682 683 684 685 686 687 688 689 690 NA NA NA NA NA NA NA NA NA NA 691 692 693 694 695 696 697 698 699 700 NA NA NA NA NA NA NA NA NA NA 701 702 703 704 705 706 707 708 709 710 NA NA NA NA NA NA NA NA NA NA 711 712 713 714 715 716 717 718 719 720 NA NA NA NA NA NA NA NA NA NA 721 722 723 724 725 726 727 728 729 730 NA NA NA NA NA NA NA NA NA NA 731 732 733 734 735 736 737 738 739 740 NA NA NA NA NA NA NA NA NA NA 741 742 743 744 745 746 747 748 749 750 NA NA NA NA NA NA NA NA NA NA 751 752 753 NA NA NA > all.equal( residuals( greeneMl ), residuals( greeneMl, part = "outcome" ) ) [1] TRUE > residuals( greeneMl, part = "selection" ) 1 2 3 4 5 6 7 8 9 10 11 1.119 1.144 1.056 1.119 0.976 1.145 0.809 1.148 1.196 1.044 1.041 12 13 14 15 16 17 18 19 20 21 22 1.097 1.168 1.092 1.164 1.126 1.086 1.048 0.842 1.059 0.797 0.885 23 24 25 26 27 28 29 30 31 32 33 0.841 0.861 1.155 0.757 1.461 1.082 0.808 0.798 1.080 1.189 0.974 34 35 36 37 38 39 40 41 42 43 44 1.299 0.861 1.145 0.855 1.265 0.871 0.559 1.167 1.294 0.871 1.190 45 46 47 48 49 50 51 52 53 54 55 1.159 1.120 0.931 0.848 0.999 1.201 1.103 1.388 1.059 1.347 1.211 56 57 58 59 60 61 62 63 64 65 66 0.634 1.024 0.502 1.033 1.072 0.862 1.073 1.168 0.901 1.086 1.010 67 68 69 70 71 72 73 74 75 76 77 0.848 0.809 1.031 1.316 0.802 1.000 1.581 1.218 1.152 1.192 1.111 78 79 80 81 82 83 84 85 86 87 88 0.696 0.944 1.320 1.386 1.421 1.258 1.103 1.262 1.078 1.396 1.365 89 90 91 92 93 94 95 96 97 98 99 0.850 1.061 1.066 1.097 1.036 1.163 1.127 1.131 1.085 1.003 0.860 100 101 102 103 104 105 106 107 108 109 110 0.985 1.076 1.017 1.150 0.750 1.067 1.019 0.927 1.150 1.080 1.028 111 112 113 114 115 116 117 118 119 120 121 0.840 1.057 0.852 0.532 1.011 1.013 0.926 1.081 0.549 0.968 1.325 122 123 124 125 126 127 128 129 130 131 132 0.851 1.084 0.872 0.571 1.065 0.862 1.102 1.191 1.309 1.136 1.197 133 134 135 136 137 138 139 140 141 142 143 1.071 0.923 1.162 1.162 1.010 0.921 1.082 0.950 1.349 0.592 0.950 144 145 146 147 148 149 150 151 152 153 154 1.318 1.257 1.104 1.144 0.990 1.185 0.793 0.742 0.901 1.063 0.909 155 156 157 158 159 160 161 162 163 164 165 0.554 0.782 1.153 0.580 1.084 1.071 1.131 0.773 0.946 0.861 0.837 166 167 168 169 170 171 172 173 174 175 176 1.279 0.566 0.659 1.097 0.867 1.140 1.448 1.148 0.949 1.077 1.332 177 178 179 180 181 182 183 184 185 186 187 0.822 0.852 1.232 1.128 0.911 1.082 1.206 0.889 1.027 1.094 0.537 188 189 190 191 192 193 194 195 196 197 198 1.179 1.094 0.905 1.155 1.116 1.104 1.295 0.979 1.020 1.040 0.992 199 200 201 202 203 204 205 206 207 208 209 1.002 0.758 0.970 0.773 0.572 1.135 1.010 1.316 1.076 1.075 0.777 210 211 212 213 214 215 216 217 218 219 220 0.750 0.997 1.095 1.062 1.657 1.101 0.680 1.054 1.163 0.856 1.211 221 222 223 224 225 226 227 228 229 230 231 1.144 1.134 0.870 1.043 0.835 0.763 1.046 0.733 1.015 1.083 1.047 232 233 234 235 236 237 238 239 240 241 242 1.336 1.128 1.089 1.072 1.023 1.507 1.172 0.705 0.715 0.948 1.011 243 244 245 246 247 248 249 250 251 252 253 1.088 1.066 1.135 1.071 1.323 1.143 1.014 0.857 0.885 1.457 0.738 254 255 256 257 258 259 260 261 262 263 264 1.077 1.062 1.011 0.978 1.404 1.030 1.188 1.086 0.812 0.942 0.817 265 266 267 268 269 270 271 272 273 274 275 1.606 1.187 1.057 1.059 0.951 0.836 1.079 1.255 1.566 1.087 0.742 276 277 278 279 280 281 282 283 284 285 286 0.680 1.036 1.040 0.752 0.987 0.913 1.057 1.113 0.794 0.917 0.876 287 288 289 290 291 292 293 294 295 296 297 0.921 1.112 0.999 1.171 0.809 0.739 0.706 0.978 1.278 0.913 0.999 298 299 300 301 302 303 304 305 306 307 308 1.159 0.904 0.761 0.848 0.782 1.135 0.871 1.104 1.033 1.108 1.413 309 310 311 312 313 314 315 316 317 318 319 1.014 1.016 1.267 0.979 1.007 1.096 0.851 1.001 0.884 1.110 0.772 320 321 322 323 324 325 326 327 328 329 330 1.181 0.837 0.890 1.296 0.955 1.167 1.294 1.264 0.984 1.090 0.727 331 332 333 334 335 336 337 338 339 340 341 1.045 0.550 1.289 1.206 1.144 1.115 0.822 1.054 1.030 1.247 0.884 342 343 344 345 346 347 348 349 350 351 352 0.987 0.953 1.107 0.829 0.631 0.835 1.013 1.626 0.445 0.799 1.048 353 354 355 356 357 358 359 360 361 362 363 1.065 1.091 0.756 0.813 0.534 1.115 1.334 1.093 1.035 0.855 0.903 364 365 366 367 368 369 370 371 372 373 374 0.979 1.158 1.325 1.068 0.839 0.659 0.873 0.867 1.079 0.967 1.086 375 376 377 378 379 380 381 382 383 384 385 1.267 1.072 1.052 0.841 1.000 1.401 0.866 0.943 0.816 1.168 1.080 386 387 388 389 390 391 392 393 394 395 396 0.404 1.223 1.108 0.743 0.783 1.578 0.896 0.983 0.778 0.893 0.932 397 398 399 400 401 402 403 404 405 406 407 1.628 0.575 1.022 0.812 0.925 1.296 0.862 1.065 1.050 1.033 1.064 408 409 410 411 412 413 414 415 416 417 418 1.037 0.791 1.077 1.072 0.744 1.123 0.916 0.888 0.997 0.715 1.324 419 420 421 422 423 424 425 426 427 428 429 1.067 1.116 1.234 1.103 0.818 1.179 0.992 0.968 1.050 1.159 -1.128 430 431 432 433 434 435 436 437 438 439 440 -1.490 -1.215 -1.368 -1.245 -1.285 -1.405 -0.847 -1.019 -1.169 -1.141 -1.239 441 442 443 444 445 446 447 448 449 450 451 -0.796 -1.139 -1.115 -1.233 -1.113 -1.428 -1.390 -1.258 -1.277 -1.529 -1.039 452 453 454 455 456 457 458 459 460 461 462 -1.253 -1.743 -1.293 -1.265 -1.230 -0.870 -1.562 -1.265 -1.215 -1.074 -1.102 463 464 465 466 467 468 469 470 471 472 473 -1.228 -1.045 -1.166 -1.529 -1.370 -1.401 -1.206 -1.191 -0.925 -1.261 -1.237 474 475 476 477 478 479 480 481 482 483 484 -1.155 -1.303 -1.437 -1.252 -1.009 -1.264 -1.573 -1.529 -1.270 -1.421 -1.516 485 486 487 488 489 490 491 492 493 494 495 -0.729 -1.389 -0.639 -1.748 -1.372 -1.709 -1.335 -1.630 -1.530 -1.162 -1.231 496 497 498 499 500 501 502 503 504 505 506 -1.267 -1.210 -1.090 -1.392 -0.989 -1.405 -1.911 -1.538 -1.301 -1.329 -1.487 507 508 509 510 511 512 513 514 515 516 517 -1.393 -1.277 -1.297 -1.098 -1.227 -1.315 -1.159 -0.916 -1.174 -1.297 -1.041 518 519 520 521 522 523 524 525 526 527 528 -1.332 -1.331 -1.312 -0.939 -1.285 -1.453 -1.252 -1.043 -1.260 -1.208 -1.288 529 530 531 532 533 534 535 536 537 538 539 -0.913 -1.026 -0.842 -1.494 -1.396 -1.219 -1.613 -1.292 -1.096 -0.869 -1.295 540 541 542 543 544 545 546 547 548 549 550 -0.925 -0.937 -1.086 -1.503 -1.129 -1.231 -1.407 -1.003 -1.269 -1.074 -1.178 551 552 553 554 555 556 557 558 559 560 561 -1.123 -0.943 -1.263 -1.392 -0.997 -1.236 -1.422 -1.255 -0.999 -1.202 -0.900 562 563 564 565 566 567 568 569 570 571 572 -0.888 -1.249 -1.169 -1.066 -1.099 -0.810 -1.551 -1.307 -1.217 -1.250 -1.262 573 574 575 576 577 578 579 580 581 582 583 -1.224 -1.661 -1.585 -1.308 -1.211 -1.229 -1.465 -1.158 -1.306 -1.434 -1.073 584 585 586 587 588 589 590 591 592 593 594 -1.512 -1.515 -0.615 -1.292 -1.504 -1.265 -1.330 -1.065 -1.335 -1.064 -0.962 595 596 597 598 599 600 601 602 603 604 605 -1.132 -0.940 -1.276 -0.802 -1.382 -1.063 -1.154 -1.583 -1.285 -1.159 -1.355 606 607 608 609 610 611 612 613 614 615 616 -1.158 -1.155 -1.158 -1.225 -1.735 -1.320 -1.253 -1.205 -1.305 -1.234 -1.092 617 618 619 620 621 622 623 624 625 626 627 -0.884 -1.367 -1.254 -1.111 -1.256 -1.215 -1.226 -1.128 -1.205 -1.454 -1.295 628 629 630 631 632 633 634 635 636 637 638 -1.374 -1.048 -1.346 -0.670 -1.039 -1.277 -1.412 -1.203 -1.572 -1.259 -0.928 639 640 641 642 643 644 645 646 647 648 649 -1.199 -0.593 -1.502 -1.336 -0.968 -1.546 -1.385 -1.508 -1.972 -1.431 -1.420 650 651 652 653 654 655 656 657 658 659 660 -0.683 -1.335 -1.212 -1.205 -1.326 -1.315 -0.970 -1.485 -0.897 -1.480 -1.011 661 662 663 664 665 666 667 668 669 670 671 -1.110 -1.499 -1.129 -1.202 -1.380 -1.132 -1.454 -1.180 -1.275 -1.126 -1.173 672 673 674 675 676 677 678 679 680 681 682 -1.542 -1.174 -1.097 -1.469 -1.363 -0.816 -1.418 -1.371 -1.874 -0.990 -1.109 683 684 685 686 687 688 689 690 691 692 693 -1.715 -1.202 -1.364 -1.299 -1.413 -1.418 -0.950 -1.082 -1.289 -1.397 -1.369 694 695 696 697 698 699 700 701 702 703 704 -1.464 -1.317 -1.251 -1.365 -1.256 -1.526 -1.271 -1.053 -0.897 -1.377 -1.222 705 706 707 708 709 710 711 712 713 714 715 -1.261 -0.935 -1.068 -1.587 -1.264 -1.244 -1.221 -1.175 -1.219 -0.906 -1.563 716 717 718 719 720 721 722 723 724 725 726 -1.339 -1.315 -1.307 -1.182 -0.984 -1.324 -1.362 -1.461 -1.273 -0.678 -0.713 727 728 729 730 731 732 733 734 735 736 737 -1.055 -1.538 -1.516 -1.361 -1.481 -1.174 -0.956 -1.545 -1.447 -1.206 -1.308 738 739 740 741 742 743 744 745 746 747 748 -1.362 -1.467 -1.451 -1.168 -1.342 -1.100 -0.977 -1.184 -1.267 -1.073 -1.250 749 750 751 752 753 -1.413 -1.191 -1.563 -0.880 -1.151 > all.equal( residuals( greeneMl, part = "selection" ), + residuals( greeneMl, part = "selection", type = "deviance" ) ) [1] TRUE > !isTRUE( all.equal( residuals( greene, part = "selection" ), + residuals( greeneMl, part = "selection" ) ) ) [1] TRUE > residuals( greeneMl, part = "selection", type = "pearson" ) 1 2 3 4 5 6 7 8 9 10 11 0.932 0.961 0.864 0.933 0.781 0.963 0.622 0.965 1.023 0.851 0.848 12 13 14 15 16 17 18 19 20 21 22 0.908 0.989 0.903 0.984 0.941 0.896 0.856 0.652 0.867 0.611 0.692 23 24 25 26 27 28 29 30 31 32 33 0.651 0.670 0.973 0.576 1.381 0.892 0.621 0.613 0.890 1.014 0.779 34 35 36 37 38 39 40 41 42 43 44 1.151 0.669 0.963 0.664 1.108 0.680 0.411 0.988 1.144 0.679 1.014 45 46 47 48 49 50 51 52 53 54 55 0.978 0.934 0.736 0.658 0.804 1.028 0.915 1.273 0.867 1.215 1.040 56 57 58 59 60 61 62 63 64 65 66 0.472 0.830 0.366 0.839 0.881 0.671 0.882 0.989 0.708 0.897 0.816 67 68 69 70 71 72 73 74 75 76 77 0.658 0.622 0.837 1.173 0.616 0.806 1.578 1.048 0.971 1.017 0.924 78 79 80 81 82 83 84 85 86 87 88 0.524 0.750 1.179 1.270 1.321 1.098 0.915 1.104 0.887 1.284 1.241 89 90 91 92 93 94 95 96 97 98 99 0.660 0.870 0.875 0.908 0.843 0.983 0.941 0.947 0.895 0.809 0.669 100 101 102 103 104 105 106 107 108 109 110 0.790 0.885 0.823 0.969 0.570 0.875 0.825 0.732 0.968 0.889 0.835 111 112 113 114 115 116 117 118 119 120 121 0.651 0.865 0.662 0.390 0.816 0.819 0.732 0.890 0.403 0.773 1.186 122 123 124 125 126 127 128 129 130 131 132 0.661 0.895 0.680 0.421 0.874 0.671 0.914 1.017 1.164 0.952 1.024 133 134 135 136 137 138 139 140 141 142 143 0.880 0.728 0.983 0.982 0.816 0.727 0.892 0.755 1.219 0.437 0.755 144 145 146 147 148 149 150 151 152 153 154 1.177 1.097 0.916 0.962 0.796 1.009 0.608 0.563 0.707 0.871 0.715 155 156 157 158 159 160 161 162 163 164 165 0.407 0.598 0.971 0.428 0.894 0.880 0.946 0.590 0.751 0.670 0.648 166 167 168 169 170 171 172 173 174 175 176 1.125 0.417 0.492 0.909 0.675 0.956 1.361 0.965 0.754 0.887 1.194 177 178 179 180 181 182 183 184 185 186 187 0.634 0.661 1.066 0.943 0.717 0.892 1.034 0.696 0.833 0.905 0.394 188 189 190 191 192 193 194 195 196 197 198 1.002 0.905 0.711 0.973 0.929 0.916 1.145 0.784 0.826 0.847 0.797 199 200 201 202 203 204 205 206 207 208 209 0.808 0.577 0.776 0.590 0.421 0.951 0.816 1.173 0.885 0.885 0.594 210 211 212 213 214 215 216 217 218 219 220 0.570 0.802 0.906 0.870 1.717 0.913 0.510 0.862 0.983 0.665 1.040 221 222 223 224 225 226 227 228 229 230 231 0.961 0.950 0.678 0.850 0.646 0.581 0.853 0.555 0.821 0.894 0.855 232 233 234 235 236 237 238 239 240 241 242 1.201 0.943 0.900 0.881 0.829 1.454 0.994 0.531 0.540 0.753 0.817 243 244 245 246 247 248 249 250 251 252 253 0.899 0.875 0.951 0.880 1.183 0.960 0.820 0.666 0.692 1.375 0.559 254 255 256 257 258 259 260 261 262 263 264 0.887 0.870 0.817 0.783 1.295 0.836 1.012 0.897 0.625 0.747 0.630 265 266 267 268 269 270 271 272 273 274 275 1.622 1.011 0.865 0.867 0.756 0.647 0.889 1.094 1.551 0.898 0.563 276 277 278 279 280 281 282 283 284 285 286 0.510 0.842 0.847 0.571 0.793 0.719 0.865 0.926 0.609 0.723 0.684 287 288 289 290 291 292 293 294 295 296 297 0.726 0.925 0.805 0.993 0.623 0.560 0.532 0.783 1.124 0.720 0.804 298 299 300 301 302 303 304 305 306 307 308 0.979 0.711 0.579 0.657 0.598 0.951 0.679 0.916 0.840 0.920 1.309 309 310 311 312 313 314 315 316 317 318 319 0.820 0.822 1.110 0.784 0.813 0.907 0.661 0.807 0.691 0.922 0.589 320 321 322 323 324 325 326 327 328 329 330 1.004 0.648 0.697 1.148 0.760 0.988 1.145 1.106 0.790 0.901 0.550 331 332 333 334 335 336 337 338 339 340 341 0.853 0.404 1.138 1.033 0.961 0.929 0.634 0.862 0.836 1.085 0.691 342 343 344 345 346 347 348 349 350 351 352 0.792 0.758 0.920 0.641 0.470 0.646 0.819 1.659 0.322 0.613 0.855 353 354 355 356 357 358 359 360 361 362 363 0.873 0.902 0.575 0.626 0.392 0.928 1.198 0.904 0.842 0.664 0.709 364 365 366 367 368 369 370 371 372 373 374 0.784 0.978 1.185 0.877 0.650 0.492 0.681 0.676 0.889 0.772 0.896 375 376 377 378 379 380 381 382 383 384 385 1.110 0.881 0.860 0.651 0.806 1.292 0.675 0.748 0.629 0.990 0.890 386 387 388 389 390 391 392 393 394 395 396 0.292 1.054 0.921 0.564 0.599 1.573 0.703 0.789 0.594 0.700 0.737 397 398 399 400 401 402 403 404 405 406 407 1.662 0.424 0.828 0.625 0.730 1.148 0.671 0.874 0.858 0.840 0.873 408 409 410 411 412 413 414 415 416 417 418 0.844 0.606 0.886 0.882 0.565 0.937 0.722 0.695 0.803 0.539 1.184 419 420 421 422 423 424 425 426 427 428 429 0.876 0.929 1.069 0.915 0.630 1.002 0.798 0.773 0.857 0.978 -0.943 430 431 432 433 434 435 436 437 438 439 440 -1.426 -1.045 -1.244 -1.083 -1.133 -1.297 -0.657 -0.825 -0.990 -0.958 -1.074 441 442 443 444 445 446 447 448 449 450 451 -0.611 -0.956 -0.928 -1.067 -0.926 -1.330 -1.276 -1.098 -1.122 -1.489 -0.846 452 453 454 455 456 457 458 459 460 461 462 -1.092 -1.888 -1.144 -1.107 -1.064 -0.678 -1.545 -1.107 -1.045 -0.883 -0.914 463 464 465 466 467 468 469 470 471 472 473 -1.060 -0.852 -0.987 -1.489 -1.247 -1.292 -1.034 -1.017 -0.730 -1.102 -1.072 474 475 476 477 478 479 480 481 482 483 484 -0.974 -1.157 -1.344 -1.091 -0.814 -1.106 -1.564 -1.489 -1.113 -1.320 -1.468 485 486 487 488 489 490 491 492 493 494 495 -0.552 -1.274 -0.476 -1.899 -1.250 -1.818 -1.199 -1.665 -1.491 -0.982 -1.065 496 497 498 499 500 501 502 503 504 505 506 -1.110 -1.039 -0.901 -1.279 -0.794 -1.298 -2.283 -1.505 -1.154 -1.192 -1.421 507 508 509 510 511 512 513 514 515 516 517 -1.281 -1.122 -1.149 -0.910 -1.060 -1.172 -0.979 -0.722 -0.996 -1.148 -0.848 518 519 520 521 522 523 524 525 526 527 528 -1.195 -1.194 -1.168 -0.744 -1.133 -1.368 -1.091 -0.850 -1.101 -1.036 -1.137 529 530 531 532 533 534 535 536 537 538 539 -0.719 -0.833 -0.653 -1.434 -1.284 -1.050 -1.634 -1.141 -0.907 -0.678 -1.146 540 541 542 543 544 545 546 547 548 549 550 -0.731 -0.743 -0.896 -1.448 -0.944 -1.064 -1.301 -0.809 -1.112 -0.883 -1.001 551 552 553 554 555 556 557 558 559 560 561 -0.937 -0.748 -1.105 -1.278 -0.803 -1.071 -1.322 -1.095 -0.805 -1.029 -0.706 562 563 564 565 566 567 568 569 570 571 572 -0.695 -1.087 -0.990 -0.875 -0.911 -0.623 -1.527 -1.162 -1.047 -1.089 -1.103 573 574 575 576 577 578 579 580 581 582 583 -1.056 -1.725 -1.584 -1.163 -1.040 -1.063 -1.387 -0.977 -1.160 -1.340 -0.882 584 585 586 587 588 589 590 591 592 593 594 -1.462 -1.466 -0.457 -1.142 -1.448 -1.108 -1.193 -0.874 -1.199 -0.872 -0.767 595 596 597 598 599 600 601 602 603 604 605 -0.948 -0.745 -1.121 -0.616 -1.264 -0.871 -0.973 -1.582 -1.133 -0.979 -1.227 606 607 608 609 610 611 612 613 614 615 616 -0.978 -0.974 -0.977 -1.057 -1.872 -1.179 -1.092 -1.033 -1.159 -1.068 -0.903 617 618 619 620 621 622 623 624 625 626 627 -0.691 -1.244 -1.093 -0.924 -1.096 -1.044 -1.058 -0.943 -1.033 -1.370 -1.146 628 629 630 631 632 633 634 635 636 637 638 -1.253 -0.856 -1.214 -0.501 -0.846 -1.122 -1.308 -1.031 -1.562 -1.099 -0.734 639 640 641 642 643 644 645 646 647 648 649 -1.025 -0.438 -1.446 -1.201 -0.773 -1.518 -1.269 -1.455 -2.448 -1.335 -1.319 650 651 652 653 654 655 656 657 658 659 660 -0.513 -1.199 -1.041 -1.032 -1.187 -1.173 -0.775 -1.418 -0.703 -1.410 -0.817 661 662 663 664 665 666 667 668 669 670 671 -0.923 -1.440 -0.944 -1.029 -1.262 -0.948 -1.370 -1.003 -1.120 -0.941 -0.995 672 673 674 675 676 677 678 679 680 681 682 -1.511 -0.996 -0.909 -1.393 -1.238 -0.629 -1.317 -1.249 -2.187 -0.795 -0.921 683 684 685 686 687 688 689 690 691 692 693 -1.831 -1.029 -1.239 -1.151 -1.309 -1.316 -0.755 -0.892 -1.139 -1.285 -1.246 694 695 696 697 698 699 700 701 702 703 704 -1.386 -1.175 -1.090 -1.240 -1.096 -1.484 -1.114 -0.861 -0.704 -1.257 -1.053 705 706 707 708 709 710 711 712 713 714 715 -1.102 -0.740 -0.876 -1.588 -1.106 -1.081 -1.052 -0.997 -1.050 -0.712 -1.547 716 717 718 719 720 721 722 723 724 725 726 -1.205 -1.173 -1.162 -1.006 -0.790 -1.185 -1.236 -1.381 -1.117 -0.508 -0.538 727 728 729 730 731 732 733 734 735 736 737 -0.863 -1.504 -1.468 -1.235 -1.413 -0.996 -0.761 -1.516 -1.359 -1.034 -1.164 738 739 740 741 742 743 744 745 746 747 748 -1.236 -1.391 -1.366 -0.988 -1.208 -0.911 -0.782 -1.008 -1.110 -0.882 -1.088 749 750 751 752 753 -1.308 -1.016 -1.546 -0.688 -0.970 > !isTRUE( all.equal( residuals( greene, part = "selection", type = "pearson" ), + residuals( greeneMl, part = "selection", type = "pearson" ) ) ) [1] TRUE > residuals( greeneMl, part = "selection", type = "response" ) 1 2 3 4 5 6 7 8 9 10 0.4651 0.4803 0.4276 0.4655 0.3789 0.4811 0.2791 0.4824 0.5111 0.4199 11 12 13 14 15 16 17 18 19 20 0.4184 0.4520 0.4945 0.4492 0.4920 0.4695 0.4452 0.4228 0.2982 0.4293 21 22 23 24 25 26 27 28 29 30 0.2720 0.3241 0.2978 0.3100 0.4866 0.2489 0.6559 0.4433 0.2785 0.2729 31 32 33 34 35 36 37 38 39 40 0.4421 0.5070 0.3779 0.5698 0.3095 0.4809 0.3061 0.5510 0.3159 0.1445 41 42 43 44 45 46 47 48 49 50 0.4938 0.5669 0.3155 0.5071 0.4890 0.4662 0.3516 0.3019 0.3928 0.5138 51 52 53 54 55 56 57 58 59 60 0.4557 0.6184 0.4291 0.5961 0.5194 0.1821 0.4077 0.1182 0.4132 0.4369 61 62 63 64 65 66 67 68 69 70 0.3104 0.4375 0.4945 0.3336 0.4457 0.3996 0.3019 0.2790 0.4121 0.5792 71 72 73 74 75 76 77 78 79 80 0.2753 0.3936 0.7134 0.5236 0.4851 0.5083 0.4608 0.2153 0.3598 0.5814 81 82 83 84 85 86 87 88 89 90 0.6173 0.6357 0.5468 0.4557 0.5492 0.4405 0.6226 0.6063 0.3033 0.4306 91 92 93 94 95 96 97 98 99 100 0.4336 0.4520 0.4155 0.4912 0.4699 0.4728 0.4449 0.3954 0.3094 0.3845 101 102 103 104 105 106 107 108 109 110 0.4393 0.4036 0.4840 0.2450 0.4338 0.4052 0.3491 0.4836 0.4417 0.4106 111 112 113 114 115 116 117 118 119 120 0.2976 0.4281 0.3044 0.1319 0.4000 0.4016 0.3488 0.4423 0.1398 0.3740 121 122 123 124 125 126 127 128 129 130 0.5844 0.3040 0.4446 0.3163 0.1507 0.4328 0.3106 0.4553 0.5082 0.5753 131 132 133 134 135 136 137 138 139 140 0.4752 0.5117 0.4366 0.3466 0.4912 0.4909 0.3996 0.3456 0.4434 0.3630 141 142 143 144 145 146 147 148 149 150 0.5976 0.1606 0.3631 0.5807 0.5460 0.4563 0.4805 0.3877 0.5044 0.2697 151 152 153 154 155 156 157 158 159 160 0.2407 0.3334 0.4314 0.3383 0.1422 0.2632 0.4854 0.1547 0.4443 0.4362 161 162 163 164 165 166 167 168 169 170 0.4723 0.2583 0.3605 0.3097 0.2958 0.5586 0.1482 0.1951 0.4522 0.3131 171 172 173 174 175 176 177 178 179 180 0.4777 0.6494 0.4825 0.3628 0.4401 0.5879 0.2866 0.3043 0.5319 0.4707 181 182 183 184 185 186 187 188 189 190 0.3396 0.4430 0.5166 0.3265 0.4096 0.4501 0.1342 0.5008 0.4504 0.3359 191 192 193 194 195 196 197 198 199 200 0.4865 0.4634 0.4562 0.5674 0.3810 0.4056 0.4179 0.3886 0.3949 0.2499 201 202 203 204 205 206 207 208 209 210 0.3756 0.2584 0.1507 0.4749 0.3997 0.5791 0.4394 0.4392 0.2608 0.2454 211 212 213 214 215 216 217 218 219 220 0.3915 0.4507 0.4308 0.7467 0.4546 0.2063 0.4262 0.4913 0.3065 0.5197 221 222 223 224 225 226 227 228 229 230 0.4804 0.4745 0.3152 0.4195 0.2942 0.2524 0.4214 0.2353 0.4025 0.4440 231 232 233 234 235 236 237 238 239 240 0.4221 0.5904 0.4706 0.4474 0.4370 0.4074 0.6788 0.4971 0.2203 0.2258 241 242 243 244 245 246 247 248 249 250 0.3617 0.4002 0.4468 0.4336 0.4752 0.4364 0.5832 0.4794 0.4019 0.3075 251 252 253 254 255 256 257 258 259 260 0.3240 0.6541 0.2382 0.4404 0.4310 0.4002 0.3803 0.6265 0.4116 0.5060 261 262 263 264 265 266 267 268 269 270 0.4456 0.2809 0.3583 0.2839 0.7246 0.5057 0.4279 0.4290 0.3638 0.2948 271 272 273 274 275 276 277 278 279 280 0.4415 0.5448 0.7065 0.4462 0.2406 0.2065 0.4151 0.4179 0.2461 0.3858 281 282 283 284 285 286 287 288 289 290 0.3407 0.4281 0.4617 0.2702 0.3432 0.3188 0.3454 0.4610 0.3930 0.4963 291 292 293 294 295 296 297 298 299 300 0.2793 0.2388 0.2206 0.3802 0.5582 0.3411 0.3929 0.4894 0.3357 0.2512 301 302 303 304 305 306 307 308 309 310 0.3017 0.2633 0.4750 0.3158 0.4563 0.4136 0.4584 0.6313 0.4018 0.4031 311 312 313 314 315 316 317 318 319 320 0.5521 0.3808 0.3978 0.4515 0.3038 0.3943 0.3234 0.4596 0.2577 0.5019 321 322 323 324 325 326 327 328 329 330 0.2957 0.3269 0.5684 0.3662 0.4941 0.5673 0.5501 0.3841 0.4481 0.2321 331 332 333 334 335 336 337 338 339 340 0.4210 0.1406 0.5645 0.5165 0.4804 0.4631 0.2867 0.4265 0.4116 0.5407 341 342 343 344 345 346 347 348 349 350 0.3232 0.3856 0.3651 0.4583 0.2910 0.1806 0.2942 0.4016 0.7335 0.0942 351 352 353 354 355 356 357 358 359 360 0.2733 0.4224 0.4326 0.4486 0.2483 0.2813 0.1331 0.4627 0.5894 0.4500 361 362 363 364 365 366 367 368 369 370 0.4147 0.3062 0.3346 0.3806 0.4887 0.5841 0.4349 0.2967 0.1950 0.3171 371 372 373 374 375 376 377 378 379 380 0.3134 0.4412 0.3733 0.4455 0.5519 0.4368 0.4249 0.2978 0.3937 0.6254 381 382 383 384 385 386 387 388 389 390 0.3127 0.3588 0.2833 0.4947 0.4420 0.0784 0.5265 0.4590 0.2411 0.2641 391 392 393 394 395 396 397 398 399 400 0.7121 0.3309 0.3835 0.2610 0.3286 0.3521 0.7343 0.1522 0.4066 0.2809 401 402 403 404 405 406 407 408 409 410 0.3479 0.5685 0.3104 0.4328 0.4239 0.4135 0.4323 0.4160 0.2686 0.4399 411 412 413 414 415 416 417 418 419 420 0.4373 0.2417 0.4678 0.3427 0.3257 0.3919 0.2254 0.5836 0.4340 0.4634 421 422 423 424 425 426 427 428 429 430 0.5331 0.4555 0.2844 0.5009 0.3889 0.3738 0.4235 0.4889 -0.4705 -0.6703 431 432 433 434 435 436 437 438 439 440 -0.5220 -0.6074 -0.5396 -0.5620 -0.6271 -0.3016 -0.4052 -0.4947 -0.4786 -0.5356 441 442 443 444 445 446 447 448 449 450 -0.2718 -0.4774 -0.4628 -0.5323 -0.4619 -0.6390 -0.6195 -0.5466 -0.5575 -0.6893 451 452 453 454 455 456 457 458 459 460 -0.4173 -0.5438 -0.7810 -0.5668 -0.5508 -0.5308 -0.3152 -0.7048 -0.5508 -0.5222 461 462 463 464 465 466 467 468 469 470 -0.4383 -0.4552 -0.5293 -0.4205 -0.4935 -0.6891 -0.6085 -0.6254 -0.5168 -0.5082 471 472 473 474 475 476 477 478 479 480 -0.3478 -0.5485 -0.5345 -0.4867 -0.5723 -0.6437 -0.5433 -0.3988 -0.5501 -0.7099 481 482 483 484 485 486 487 488 489 490 -0.6892 -0.5534 -0.6355 -0.6830 -0.2335 -0.6189 -0.1847 -0.7830 -0.6097 -0.7677 491 492 493 494 495 496 497 498 499 500 -0.5896 -0.7350 -0.6898 -0.4912 -0.5315 -0.5521 -0.5192 -0.4479 -0.6205 -0.3865 501 502 503 504 505 506 507 508 509 510 -0.6276 -0.8390 -0.6937 -0.5712 -0.5868 -0.6688 -0.6212 -0.5573 -0.5690 -0.4529 511 512 513 514 515 516 517 518 519 520 -0.5289 -0.5789 -0.4892 -0.3427 -0.4981 -0.5686 -0.4182 -0.5882 -0.5875 -0.5769 521 522 523 524 525 526 527 528 529 530 -0.3562 -0.5622 -0.6518 -0.5433 -0.4195 -0.5479 -0.5179 -0.5638 -0.3407 -0.4094 531 532 533 534 535 536 537 538 539 540 -0.2987 -0.6727 -0.6226 -0.5242 -0.7276 -0.5657 -0.4512 -0.3147 -0.5678 -0.3480 541 542 543 544 545 546 547 548 549 550 -0.3555 -0.4455 -0.6770 -0.4714 -0.5311 -0.6286 -0.3954 -0.5529 -0.4382 -0.5006 551 552 553 554 555 556 557 558 559 560 -0.4678 -0.3588 -0.5495 -0.6203 -0.3919 -0.5341 -0.6361 -0.5452 -0.3931 -0.5143 561 562 563 564 565 566 567 568 569 570 -0.3329 -0.3258 -0.5416 -0.4949 -0.4337 -0.4533 -0.2795 -0.6998 -0.5746 -0.5229 571 572 573 574 575 576 577 578 579 580 -0.5423 -0.5489 -0.5272 -0.7484 -0.7151 -0.5748 -0.5198 -0.5304 -0.6578 -0.4883 581 582 583 584 585 586 587 588 589 590 -0.5736 -0.6424 -0.4375 -0.6813 -0.6824 -0.1725 -0.5658 -0.6772 -0.5510 -0.5872 591 592 593 594 595 596 597 598 599 600 -0.4329 -0.5897 -0.4321 -0.3706 -0.4731 -0.3572 -0.5567 -0.2753 -0.6149 -0.4313 601 602 603 604 605 606 607 608 609 610 -0.4864 -0.7145 -0.5620 -0.4894 -0.6009 -0.4887 -0.4868 -0.4886 -0.5278 -0.7780 611 612 613 614 615 616 617 618 619 620 -0.5815 -0.5441 -0.5164 -0.5732 -0.5329 -0.4489 -0.3232 -0.6074 -0.5444 -0.4608 621 622 623 624 625 626 627 628 629 630 -0.5458 -0.5217 -0.5282 -0.4704 -0.5160 -0.6523 -0.5677 -0.6109 -0.4228 -0.5958 631 632 633 634 635 636 637 638 639 640 -0.2008 -0.4171 -0.5574 -0.6311 -0.5151 -0.7093 -0.5472 -0.3500 -0.5125 -0.1610 641 642 643 644 645 646 647 648 649 650 -0.6765 -0.5905 -0.3741 -0.6973 -0.6170 -0.6793 -0.8570 -0.6407 -0.6350 -0.2081 651 652 653 654 655 656 657 658 659 660 -0.5899 -0.5202 -0.5159 -0.5849 -0.5790 -0.3751 -0.6679 -0.3310 -0.6655 -0.4004 661 662 663 664 665 666 667 668 669 670 -0.4600 -0.6746 -0.4712 -0.5145 -0.6142 -0.4731 -0.6523 -0.5017 -0.5565 -0.4698 671 672 673 674 675 676 677 678 679 680 -0.4975 -0.6955 -0.4981 -0.4522 -0.6600 -0.6051 -0.2832 -0.6342 -0.6092 -0.8271 681 682 683 684 685 686 687 688 689 690 -0.3875 -0.4590 -0.7702 -0.5144 -0.6056 -0.5699 -0.6316 -0.6340 -0.3632 -0.4431 691 692 693 694 695 696 697 698 699 700 -0.5645 -0.6229 -0.6081 -0.6576 -0.5798 -0.5429 -0.6059 -0.5457 -0.6877 -0.5539 701 702 703 704 705 706 707 708 709 710 -0.4255 -0.3314 -0.6124 -0.5258 -0.5485 -0.3540 -0.4344 -0.7159 -0.5500 -0.5386 711 712 713 714 715 716 717 718 719 720 -0.5255 -0.4984 -0.5244 -0.3365 -0.7052 -0.5921 -0.5790 -0.5744 -0.5030 -0.3840 721 722 723 724 725 726 727 728 729 730 -0.5840 -0.6044 -0.6559 -0.5553 -0.2052 -0.2243 -0.4266 -0.6936 -0.6829 -0.6042 731 732 733 734 735 736 737 738 739 740 -0.6662 -0.4978 -0.3667 -0.6969 -0.6488 -0.5169 -0.5752 -0.6043 -0.6592 -0.6511 741 742 743 744 745 746 747 748 749 750 -0.4942 -0.5935 -0.4537 -0.3794 -0.5039 -0.5519 -0.4377 -0.5423 -0.6313 -0.5078 751 752 753 -0.7051 -0.3210 -0.4846 > !isTRUE( all.equal( residuals( greene, part = "selection", type = "response" ), + residuals( greeneMl, part = "selection", type = "response" ) ) ) [1] TRUE > all.equal( residuals( greeneMl, part = "selection", type = "response" ), + Mroz87$lfp - fitted( greeneMl, part = "selection" ) ) [1] TRUE > all.equal( model.matrix( greene, part = "outcome" )[,-6], + model.matrix( greeneMl, part = "outcome" ), + check.attributes = FALSE ) [1] TRUE > model.matrix( greeneMl, part = "outcome" ) (Intercept) exper I(exper^2) educ city 1 1 14 196 12 0 2 1 5 25 12 1 3 1 15 225 12 0 4 1 6 36 12 0 5 1 7 49 14 1 6 1 33 1089 12 1 7 1 11 121 16 0 8 1 35 1225 12 0 9 1 24 576 12 0 10 1 21 441 12 0 11 1 15 225 12 0 12 1 14 196 11 0 13 1 0 0 12 0 14 1 14 196 12 1 15 1 6 36 10 1 16 1 9 81 11 1 17 1 20 400 12 1 18 1 6 36 12 1 19 1 23 529 12 1 20 1 9 81 12 0 21 1 5 25 16 0 22 1 11 121 12 0 23 1 18 324 13 1 24 1 15 225 12 0 25 1 4 16 12 1 26 1 21 441 17 1 27 1 31 961 12 1 28 1 9 81 12 1 29 1 7 49 17 0 30 1 7 49 12 0 31 1 32 1024 11 1 32 1 11 121 16 1 33 1 16 256 13 0 34 1 14 196 12 1 35 1 27 729 16 1 36 1 0 0 11 0 37 1 17 289 12 1 38 1 28 784 10 0 39 1 24 576 14 0 40 1 11 121 17 1 41 1 1 1 12 0 42 1 14 196 12 1 43 1 6 36 16 1 44 1 10 100 12 0 45 1 6 36 12 0 46 1 4 16 12 0 47 1 10 100 16 1 48 1 22 484 12 0 49 1 16 256 12 0 50 1 6 36 12 0 51 1 12 144 12 1 52 1 32 1024 12 1 53 1 15 225 12 0 54 1 17 289 8 1 55 1 34 1156 10 0 56 1 9 81 16 1 57 1 37 1369 14 1 58 1 10 100 17 1 59 1 35 1225 14 1 60 1 6 36 12 1 61 1 19 361 14 0 62 1 10 100 12 1 63 1 11 121 8 1 64 1 15 225 12 1 65 1 12 144 12 1 66 1 12 144 8 0 67 1 14 196 17 0 68 1 11 121 12 1 69 1 9 81 12 1 70 1 24 576 12 0 71 1 12 144 12 1 72 1 13 169 12 1 73 1 29 841 9 1 74 1 11 121 10 1 75 1 13 169 12 1 76 1 19 361 12 1 77 1 2 4 12 0 78 1 24 576 17 1 79 1 9 81 15 1 80 1 6 36 12 1 81 1 22 484 6 1 82 1 30 900 14 0 83 1 10 100 12 1 84 1 6 36 14 1 85 1 29 841 9 0 86 1 29 841 17 1 87 1 36 1296 13 1 88 1 19 361 9 1 89 1 8 64 15 1 90 1 13 169 12 0 91 1 16 256 12 1 92 1 11 121 12 1 93 1 15 225 12 1 94 1 6 36 12 1 95 1 13 169 12 0 96 1 22 484 12 0 97 1 24 576 12 1 98 1 2 4 13 1 99 1 6 36 12 0 100 1 2 4 13 0 101 1 2 4 12 1 102 1 14 196 12 0 103 1 9 81 12 1 104 1 11 121 16 1 105 1 9 81 12 0 106 1 6 36 13 1 107 1 19 361 11 0 108 1 26 676 12 0 109 1 19 361 12 1 110 1 3 9 12 1 111 1 7 49 17 1 112 1 28 784 14 1 113 1 13 169 16 1 114 1 9 81 17 1 115 1 15 225 12 1 116 1 20 400 11 1 117 1 29 841 12 1 118 1 9 81 12 1 119 1 1 1 17 1 120 1 8 64 10 1 121 1 19 361 13 1 122 1 23 529 11 0 123 1 3 9 12 0 124 1 13 169 16 0 125 1 8 64 17 1 126 1 17 289 12 0 127 1 4 16 16 1 128 1 15 225 12 0 129 1 11 121 16 0 130 1 7 49 8 0 131 1 0 0 12 0 132 1 0 0 12 0 133 1 10 100 12 1 134 1 8 64 13 1 135 1 2 4 11 1 136 1 4 16 12 1 137 1 6 36 12 1 138 1 18 324 14 1 139 1 3 9 12 1 140 1 22 484 12 1 141 1 33 1089 12 1 142 1 28 784 17 1 143 1 23 529 14 1 144 1 27 729 12 0 145 1 11 121 9 1 146 1 6 36 12 1 147 1 11 121 12 1 148 1 14 196 12 1 149 1 17 289 14 1 150 1 17 289 16 1 151 1 14 196 17 0 152 1 11 121 15 1 153 1 7 49 12 1 154 1 8 64 16 1 155 1 6 36 17 1 156 1 8 64 17 1 157 1 4 16 12 0 158 1 25 625 16 1 159 1 24 576 13 0 160 1 11 121 12 1 161 1 19 361 11 1 162 1 9 81 16 1 163 1 19 361 14 1 164 1 14 196 16 0 165 1 22 484 12 1 166 1 6 36 9 1 167 1 23 529 17 1 168 1 15 225 14 1 169 1 6 36 12 1 170 1 11 121 12 0 171 1 2 4 11 0 172 1 22 484 12 1 173 1 10 100 12 1 174 1 14 196 10 1 175 1 12 144 12 1 176 1 9 81 5 1 177 1 13 169 17 0 178 1 18 324 11 0 179 1 8 64 12 0 180 1 11 121 12 1 181 1 9 81 14 1 182 1 9 81 11 1 183 1 14 196 12 1 184 1 9 81 14 1 185 1 2 4 12 1 186 1 12 144 10 0 187 1 15 225 16 1 188 1 11 121 13 1 189 1 7 49 12 0 190 1 9 81 12 1 191 1 19 361 12 0 192 1 11 121 11 0 193 1 8 64 12 1 194 1 13 169 9 1 195 1 4 16 13 1 196 1 7 49 12 1 197 1 19 361 12 0 198 1 14 196 12 1 199 1 14 196 13 1 200 1 3 9 16 1 201 1 9 81 12 1 202 1 7 49 16 1 203 1 7 49 17 1 204 1 14 196 12 0 205 1 29 841 12 0 206 1 19 361 9 0 207 1 14 196 12 1 208 1 16 256 12 0 209 1 10 100 13 1 210 1 12 144 12 0 211 1 24 576 12 1 212 1 6 36 12 0 213 1 9 81 12 1 214 1 14 196 10 0 215 1 26 676 12 0 216 1 7 49 16 0 217 1 4 16 12 1 218 1 15 225 11 0 219 1 23 529 12 1 220 1 1 1 10 0 221 1 29 841 12 1 222 1 9 81 12 1 223 1 6 36 12 0 224 1 11 121 12 0 225 1 17 289 16 1 226 1 6 36 17 1 227 1 7 49 12 1 228 1 2 4 17 1 229 1 24 576 12 1 230 1 4 16 12 0 231 1 11 121 12 0 232 1 25 625 8 0 233 1 11 121 12 0 234 1 2 4 13 1 235 1 19 361 12 0 236 1 7 49 12 1 237 1 2 4 8 1 238 1 20 400 12 1 239 1 10 100 17 1 240 1 19 361 17 1 241 1 17 289 12 1 242 1 12 144 13 1 243 1 11 121 12 1 244 1 6 36 12 1 245 1 10 100 12 1 246 1 4 16 12 0 247 1 2 4 9 1 248 1 13 169 10 1 249 1 21 441 12 0 250 1 9 81 16 1 251 1 4 16 13 1 252 1 2 4 8 0 253 1 19 361 16 1 254 1 4 16 13 1 255 1 9 81 12 1 256 1 14 196 11 1 257 1 6 36 13 1 258 1 24 576 12 1 259 1 1 1 12 0 260 1 13 169 10 1 261 1 3 9 12 1 262 1 10 100 17 1 263 1 16 256 15 1 264 1 9 81 16 1 265 1 19 361 10 0 266 1 4 16 11 1 267 1 10 100 12 1 268 1 5 25 12 1 269 1 7 49 14 1 270 1 3 9 16 0 271 1 38 1444 14 0 272 1 16 256 8 0 273 1 13 169 7 0 274 1 1 1 12 0 275 1 7 49 12 0 276 1 15 225 14 1 277 1 10 100 12 1 278 1 2 4 12 0 279 1 19 361 12 1 280 1 25 625 14 1 281 1 25 625 16 1 282 1 7 49 12 1 283 1 15 225 12 1 284 1 11 121 12 1 285 1 25 625 13 1 286 1 19 361 13 1 287 1 4 16 10 1 288 1 14 196 12 1 289 1 19 361 12 1 290 1 18 324 12 1 291 1 14 196 12 1 292 1 11 121 14 1 293 1 4 16 17 0 294 1 29 841 10 1 295 1 21 441 9 0 296 1 24 576 12 1 297 1 19 361 12 1 298 1 31 961 16 1 299 1 28 784 12 1 300 1 15 225 17 1 301 1 27 729 12 0 302 1 13 169 17 0 303 1 4 16 11 0 304 1 10 100 16 1 305 1 8 64 11 1 306 1 4 16 13 0 307 1 18 324 11 1 308 1 3 9 8 1 309 1 11 121 11 1 310 1 8 64 12 1 311 1 10 100 10 1 312 1 33 1089 17 1 313 1 19 361 12 1 314 1 35 1225 12 1 315 1 21 441 17 1 316 1 7 49 14 0 317 1 18 324 12 0 318 1 4 16 12 0 319 1 12 144 12 1 320 1 16 256 12 0 321 1 14 196 12 1 322 1 3 9 12 1 323 1 1 1 9 0 324 1 27 729 10 0 325 1 12 144 12 1 326 1 6 36 12 0 327 1 9 81 12 1 328 1 2 4 12 0 329 1 6 36 12 0 330 1 9 81 17 1 331 1 16 256 12 1 332 1 22 484 17 0 333 1 26 676 12 0 334 1 11 121 10 0 335 1 11 121 12 1 336 1 15 225 12 0 337 1 13 169 12 0 338 1 6 36 12 1 339 1 20 400 12 1 340 1 17 289 12 1 341 1 8 64 16 1 342 1 13 169 13 1 343 1 15 225 13 1 344 1 14 196 12 0 345 1 14 196 16 0 346 1 6 36 17 1 347 1 24 576 12 1 348 1 10 100 14 1 349 1 2 4 12 1 350 1 9 81 17 1 351 1 23 529 12 1 352 1 12 144 14 1 353 1 8 64 12 0 354 1 16 256 12 1 355 1 10 100 17 1 356 1 7 49 16 1 357 1 19 361 16 1 358 1 2 4 12 1 359 1 9 81 9 1 360 1 14 196 12 0 361 1 9 81 12 1 362 1 16 256 16 1 363 1 7 49 14 1 364 1 6 36 12 1 365 1 22 484 12 1 366 1 9 81 11 0 367 1 9 81 12 0 368 1 14 196 16 1 369 1 17 289 17 1 370 1 12 144 17 0 371 1 13 169 14 0 372 1 8 64 12 0 373 1 10 100 14 1 374 1 16 256 12 0 375 1 1 1 10 0 376 1 6 36 12 0 377 1 4 16 13 1 378 1 8 64 16 0 379 1 4 16 12 1 380 1 15 225 7 1 381 1 7 49 16 0 382 1 14 196 14 0 383 1 16 256 12 0 384 1 15 225 10 0 385 1 23 529 12 0 386 1 19 361 16 0 387 1 4 16 10 0 388 1 12 144 12 1 389 1 12 144 14 1 390 1 25 625 12 1 391 1 14 196 6 0 392 1 14 196 15 0 393 1 11 121 12 0 394 1 7 49 17 1 395 1 18 324 14 1 396 1 4 16 13 1 397 1 37 1369 6 0 398 1 13 169 16 0 399 1 14 196 14 1 400 1 17 289 15 1 401 1 5 25 14 1 402 1 2 4 8 0 403 1 0 0 14 1 404 1 3 9 12 1 405 1 21 441 12 1 406 1 20 400 12 1 407 1 19 361 12 1 408 1 4 16 12 1 409 1 19 361 12 0 410 1 11 121 8 1 411 1 14 196 12 0 412 1 8 64 17 1 413 1 13 169 12 0 414 1 24 576 12 1 415 1 1 1 14 1 416 1 1 1 13 1 417 1 3 9 17 0 418 1 4 16 8 0 419 1 21 441 12 0 420 1 10 100 11 0 421 1 13 169 12 1 422 1 9 81 12 1 423 1 14 196 17 0 424 1 2 4 10 0 425 1 21 441 12 1 426 1 22 484 13 1 427 1 14 196 12 1 428 1 7 49 12 1 429 NA NA NA NA NA 430 NA NA NA NA NA 431 NA NA NA NA NA 432 NA NA NA NA NA 433 NA NA NA NA NA 434 NA NA NA NA NA 435 NA NA NA NA NA 436 NA NA NA NA NA 437 NA NA NA NA NA 438 NA NA NA NA NA 439 NA NA NA NA NA 440 NA NA NA NA NA 441 NA NA NA NA NA 442 NA NA NA NA NA 443 NA NA NA NA NA 444 NA NA NA NA NA 445 NA NA NA NA NA 446 NA NA NA NA NA 447 NA NA NA NA NA 448 NA NA NA NA NA 449 NA NA NA NA NA 450 NA NA NA NA NA 451 NA NA NA NA NA 452 NA NA NA NA NA 453 NA NA NA NA NA 454 NA NA NA NA NA 455 NA NA NA NA NA 456 NA NA NA NA NA 457 NA NA NA NA NA 458 NA NA NA NA NA 459 NA NA NA NA NA 460 NA NA NA NA NA 461 NA NA NA NA NA 462 NA NA NA NA NA 463 NA NA NA NA NA 464 NA NA NA NA NA 465 NA NA NA NA NA 466 NA NA NA NA NA 467 NA NA NA NA NA 468 NA NA NA NA NA 469 NA NA NA NA NA 470 NA NA NA NA NA 471 NA NA NA NA NA 472 NA NA NA NA NA 473 NA NA NA NA NA 474 NA NA NA NA NA 475 NA NA NA NA NA 476 NA NA NA NA NA 477 NA NA NA NA NA 478 NA NA NA NA NA 479 NA NA NA NA NA 480 NA NA NA NA NA 481 NA NA NA NA NA 482 NA NA NA NA NA 483 NA NA NA NA NA 484 NA NA NA NA NA 485 NA NA NA NA NA 486 NA NA NA NA NA 487 NA NA NA NA NA 488 NA NA NA NA NA 489 NA NA NA NA NA 490 NA NA NA NA NA 491 NA NA NA NA NA 492 NA NA NA NA NA 493 NA NA NA NA NA 494 NA NA NA NA NA 495 NA NA NA NA NA 496 NA NA NA NA NA 497 NA NA NA NA NA 498 NA NA NA NA NA 499 NA NA NA NA NA 500 NA NA NA NA NA 501 NA NA NA NA NA 502 NA NA NA NA NA 503 NA NA NA NA NA 504 NA NA NA NA NA 505 NA NA NA NA NA 506 NA NA NA NA NA 507 NA NA NA NA NA 508 NA NA NA NA NA 509 NA NA NA NA NA 510 NA NA NA NA NA 511 NA NA NA NA NA 512 NA NA NA NA NA 513 NA NA NA NA NA 514 NA NA NA NA NA 515 NA NA NA NA NA 516 NA NA NA NA NA 517 NA NA NA NA NA 518 NA NA NA NA NA 519 NA NA NA NA NA 520 NA NA NA NA NA 521 NA NA NA NA NA 522 NA NA NA NA NA 523 NA NA NA NA NA 524 NA NA NA NA NA 525 NA NA NA NA NA 526 NA NA NA NA NA 527 NA NA NA NA NA 528 NA NA NA NA NA 529 NA NA NA NA NA 530 NA NA NA NA NA 531 NA NA NA NA NA 532 NA NA NA NA NA 533 NA NA NA NA NA 534 NA NA NA NA NA 535 NA NA NA NA NA 536 NA NA NA NA NA 537 NA NA NA NA NA 538 NA NA NA NA NA 539 NA NA NA NA NA 540 NA NA NA NA NA 541 NA NA NA NA NA 542 NA NA NA NA NA 543 NA NA NA NA NA 544 NA NA NA NA NA 545 NA NA NA NA NA 546 NA NA NA NA NA 547 NA NA NA NA NA 548 NA NA NA NA NA 549 NA NA NA NA NA 550 NA NA NA NA NA 551 NA NA NA NA NA 552 NA NA NA NA NA 553 NA NA NA NA NA 554 NA NA NA NA NA 555 NA NA NA NA NA 556 NA NA NA NA NA 557 NA NA NA NA NA 558 NA NA NA NA NA 559 NA NA NA NA NA 560 NA NA NA NA NA 561 NA NA NA NA NA 562 NA NA NA NA NA 563 NA NA NA NA NA 564 NA NA NA NA NA 565 NA NA NA NA NA 566 NA NA NA NA NA 567 NA NA NA NA NA 568 NA NA NA NA NA 569 NA NA NA NA NA 570 NA NA NA NA NA 571 NA NA NA NA NA 572 NA NA NA NA NA 573 NA NA NA NA NA 574 NA NA NA NA NA 575 NA NA NA NA NA 576 NA NA NA NA NA 577 NA NA NA NA NA 578 NA NA NA NA NA 579 NA NA NA NA NA 580 NA NA NA NA NA 581 NA NA NA NA NA 582 NA NA NA NA NA 583 NA NA NA NA NA 584 NA NA NA NA NA 585 NA NA NA NA NA 586 NA NA NA NA NA 587 NA NA NA NA NA 588 NA NA NA NA NA 589 NA NA NA NA NA 590 NA NA NA NA NA 591 NA NA NA NA NA 592 NA NA NA NA NA 593 NA NA NA NA NA 594 NA NA NA NA NA 595 NA NA NA NA NA 596 NA NA NA NA NA 597 NA NA NA NA NA 598 NA NA NA NA NA 599 NA NA NA NA NA 600 NA NA NA NA NA 601 NA NA NA NA NA 602 NA NA NA NA NA 603 NA NA NA NA NA 604 NA NA NA NA NA 605 NA NA NA NA NA 606 NA NA NA NA NA 607 NA NA NA NA NA 608 NA NA NA NA NA 609 NA NA NA NA NA 610 NA NA NA NA NA 611 NA NA NA NA NA 612 NA NA NA NA NA 613 NA NA NA NA NA 614 NA NA NA NA NA 615 NA NA NA NA NA 616 NA NA NA NA NA 617 NA NA NA NA NA 618 NA NA NA NA NA 619 NA NA NA NA NA 620 NA NA NA NA NA 621 NA NA NA NA NA 622 NA NA NA NA NA 623 NA NA NA NA NA 624 NA NA NA NA NA 625 NA NA NA NA NA 626 NA NA NA NA NA 627 NA NA NA NA NA 628 NA NA NA NA NA 629 NA NA NA NA NA 630 NA NA NA NA NA 631 NA NA NA NA NA 632 NA NA NA NA NA 633 NA NA NA NA NA 634 NA NA NA NA NA 635 NA NA NA NA NA 636 NA NA NA NA NA 637 NA NA NA NA NA 638 NA NA NA NA NA 639 NA NA NA NA NA 640 NA NA NA NA NA 641 NA NA NA NA NA 642 NA NA NA NA NA 643 NA NA NA NA NA 644 NA NA NA NA NA 645 NA NA NA NA NA 646 NA NA NA NA NA 647 NA NA NA NA NA 648 NA NA NA NA NA 649 NA NA NA NA NA 650 NA NA NA NA NA 651 NA NA NA NA NA 652 NA NA NA NA NA 653 NA NA NA NA NA 654 NA NA NA NA NA 655 NA NA NA NA NA 656 NA NA NA NA NA 657 NA NA NA NA NA 658 NA NA NA NA NA 659 NA NA NA NA NA 660 NA NA NA NA NA 661 NA NA NA NA NA 662 NA NA NA NA NA 663 NA NA NA NA NA 664 NA NA NA NA NA 665 NA NA NA NA NA 666 NA NA NA NA NA 667 NA NA NA NA NA 668 NA NA NA NA NA 669 NA NA NA NA NA 670 NA NA NA NA NA 671 NA NA NA NA NA 672 NA NA NA NA NA 673 NA NA NA NA NA 674 NA NA NA NA NA 675 NA NA NA NA NA 676 NA NA NA NA NA 677 NA NA NA NA NA 678 NA NA NA NA NA 679 NA NA NA NA NA 680 NA NA NA NA NA 681 NA NA NA NA NA 682 NA NA NA NA NA 683 NA NA NA NA NA 684 NA NA NA NA NA 685 NA NA NA NA NA 686 NA NA NA NA NA 687 NA NA NA NA NA 688 NA NA NA NA NA 689 NA NA NA NA NA 690 NA NA NA NA NA 691 NA NA NA NA NA 692 NA NA NA NA NA 693 NA NA NA NA NA 694 NA NA NA NA NA 695 NA NA NA NA NA 696 NA NA NA NA NA 697 NA NA NA NA NA 698 NA NA NA NA NA 699 NA NA NA NA NA 700 NA NA NA NA NA 701 NA NA NA NA NA 702 NA NA NA NA NA 703 NA NA NA NA NA 704 NA NA NA NA NA 705 NA NA NA NA NA 706 NA NA NA NA NA 707 NA NA NA NA NA 708 NA NA NA NA NA 709 NA NA NA NA NA 710 NA NA NA NA NA 711 NA NA NA NA NA 712 NA NA NA NA NA 713 NA NA NA NA NA 714 NA NA NA NA NA 715 NA NA NA NA NA 716 NA NA NA NA NA 717 NA NA NA NA NA 718 NA NA NA NA NA 719 NA NA NA NA NA 720 NA NA NA NA NA 721 NA NA NA NA NA 722 NA NA NA NA NA 723 NA NA NA NA NA 724 NA NA NA NA NA 725 NA NA NA NA NA 726 NA NA NA NA NA 727 NA NA NA NA NA 728 NA NA NA NA NA 729 NA NA NA NA NA 730 NA NA NA NA NA 731 NA NA NA NA NA 732 NA NA NA NA NA 733 NA NA NA NA NA 734 NA NA NA NA NA 735 NA NA NA NA NA 736 NA NA NA NA NA 737 NA NA NA NA NA 738 NA NA NA NA NA 739 NA NA NA NA NA 740 NA NA NA NA NA 741 NA NA NA NA NA 742 NA NA NA NA NA 743 NA NA NA NA NA 744 NA NA NA NA NA 745 NA NA NA NA NA 746 NA NA NA NA NA 747 NA NA NA NA NA 748 NA NA NA NA NA 749 NA NA NA NA NA 750 NA NA NA NA NA 751 NA NA NA NA NA 752 NA NA NA NA NA 753 NA NA NA NA NA attr(,"assign") [1] 0 1 2 3 4 > all.equal( model.matrix( greene, part = "selection" ), + model.matrix( greeneMl, part = "selection" ), + check.attributes = FALSE ) [1] TRUE > model.matrix( greeneMl, part = "selection" ) (Intercept) age I(age^2) faminc kidsTRUE educ 1 1 32 1024 16310 1 12 2 1 30 900 21800 1 12 3 1 35 1225 21040 1 12 4 1 34 1156 7300 1 12 5 1 31 961 27300 1 14 6 1 54 2916 19495 0 12 7 1 37 1369 21152 1 16 8 1 54 2916 18900 0 12 9 1 48 2304 20405 1 12 10 1 39 1521 20425 1 12 11 1 33 1089 32300 1 12 12 1 42 1764 28700 1 11 13 1 30 900 15500 1 12 14 1 43 1849 16860 1 12 15 1 43 1849 31431 1 10 16 1 35 1225 19180 1 11 17 1 43 1849 18600 1 12 18 1 39 1521 19151 1 12 19 1 45 2025 18100 0 12 20 1 35 1225 20300 1 12 21 1 42 1764 30419 1 16 22 1 30 900 14090 0 12 23 1 48 2304 22679 0 13 24 1 45 2025 12160 0 12 25 1 31 961 12487 1 12 26 1 43 1849 29850 1 17 27 1 59 3481 18100 0 12 28 1 32 1024 26000 1 12 29 1 31 961 26100 1 17 30 1 42 1764 17730 0 12 31 1 50 2500 6719 0 11 32 1 59 3481 18550 0 16 33 1 36 1296 24600 1 13 34 1 51 2601 23100 1 12 35 1 45 2025 24656 1 16 36 1 42 1764 15897 1 11 37 1 46 2116 20320 0 12 38 1 46 2116 21384 1 10 39 1 51 2601 25561 0 14 40 1 30 900 36550 0 17 41 1 30 900 15810 1 12 42 1 57 3249 25500 0 12 43 1 31 961 24000 1 16 44 1 48 2304 22172 1 12 45 1 30 900 17930 1 12 46 1 34 1156 7000 1 12 47 1 48 2304 25300 1 16 48 1 45 2025 16212 0 12 49 1 51 2601 22650 0 12 50 1 30 900 6985 1 12 51 1 46 2116 30000 1 12 52 1 58 3364 18500 0 12 53 1 37 1369 16658 1 12 54 1 52 2704 10300 0 8 55 1 52 2704 11000 0 10 56 1 31 961 19900 0 16 57 1 55 3025 32500 0 14 58 1 34 1156 37300 0 17 59 1 55 3025 30018 0 14 60 1 39 1521 12807 1 12 61 1 40 1600 39500 1 14 62 1 43 1849 22050 1 12 63 1 48 2304 15500 0 8 64 1 47 2209 13810 0 12 65 1 41 1681 11950 1 12 66 1 36 1296 19175 0 8 67 1 46 2116 17900 1 17 68 1 34 1156 15850 0 12 69 1 41 1681 27017 1 12 70 1 51 2601 18900 1 12 71 1 33 1089 21800 0 12 72 1 52 2704 33552 0 12 73 1 58 3364 22650 0 9 74 1 34 1156 15200 1 10 75 1 31 961 13120 1 12 76 1 48 2304 21660 1 12 77 1 32 1024 18190 1 12 78 1 49 2401 9600 0 17 79 1 32 1024 13755 1 15 80 1 58 3364 35350 0 12 81 1 50 2500 12405 0 6 82 1 60 3600 12180 0 14 83 1 50 2500 22962 1 12 84 1 56 3136 25700 0 14 85 1 51 2601 3305 0 9 86 1 54 2916 32950 1 17 87 1 59 3481 17000 0 13 88 1 46 2116 13250 1 9 89 1 46 2116 50750 1 15 90 1 39 1521 15632 1 12 91 1 44 1936 28316 1 12 92 1 33 1089 17290 1 12 93 1 33 1089 33600 1 12 94 1 48 2304 29200 1 12 95 1 31 961 19870 1 12 96 1 45 2025 16225 1 12 97 1 45 2025 28600 1 12 98 1 32 1024 30800 1 13 99 1 47 2209 25700 0 12 100 1 34 1156 27000 1 13 101 1 37 1369 12077 1 12 102 1 36 1296 29612 1 12 103 1 47 2209 24479 1 12 104 1 48 2304 79750 1 16 105 1 42 1764 20050 1 12 106 1 33 1089 21500 1 13 107 1 46 2116 16120 0 11 108 1 47 2209 24686 1 12 109 1 44 1936 24669 1 12 110 1 36 1296 26400 1 12 111 1 31 961 16245 1 17 112 1 55 3025 23300 0 14 113 1 45 2025 27200 1 16 114 1 47 2209 51000 0 17 115 1 46 2116 55000 1 12 116 1 49 2401 15389 0 11 117 1 49 2401 23150 0 12 118 1 45 2025 29774 1 12 119 1 38 1444 91044 1 17 120 1 47 2209 28200 0 10 121 1 54 2916 36150 1 13 122 1 41 1681 15652 0 11 123 1 43 1849 18900 1 12 124 1 31 961 23600 1 16 125 1 47 2209 36200 0 17 126 1 35 1225 18700 1 12 127 1 45 2025 24125 1 16 128 1 33 1089 15800 1 12 129 1 54 2916 19742 1 16 130 1 35 1225 22600 1 8 131 1 31 961 17500 1 12 132 1 55 3025 19820 0 12 133 1 34 1156 20155 1 12 134 1 38 1444 37300 1 13 135 1 45 2025 24860 1 11 136 1 47 2209 21450 1 12 137 1 39 1521 29650 1 12 138 1 36 1296 23000 1 14 139 1 33 1089 21120 1 12 140 1 50 2500 26000 0 12 141 1 58 3364 28000 0 12 142 1 49 2401 45500 0 17 143 1 41 1681 16000 1 14 144 1 51 2601 18232 1 12 145 1 53 2809 28160 0 9 146 1 36 1296 5965 1 12 147 1 46 2116 19000 1 12 148 1 36 1296 36872 1 12 149 1 53 2809 42000 1 14 150 1 40 1600 26900 1 16 151 1 42 1764 30800 1 17 152 1 33 1089 21520 1 15 153 1 43 1849 24795 1 12 154 1 31 961 12900 1 16 155 1 47 2209 42700 0 17 156 1 54 2916 38800 0 17 157 1 33 1089 2500 1 12 158 1 43 1849 26921 0 16 159 1 46 2116 18300 1 13 160 1 35 1225 17200 1 12 161 1 37 1369 14209 1 11 162 1 37 1369 32300 1 16 163 1 34 1156 21400 1 14 164 1 43 1849 14700 1 16 165 1 46 2116 25516 0 12 166 1 35 1225 13300 1 9 167 1 46 2116 31000 0 17 168 1 46 2116 48800 0 14 169 1 43 1849 15519 1 12 170 1 30 900 19500 0 12 171 1 41 1681 14545 1 11 172 1 54 2916 22897 1 12 173 1 31 961 14300 1 12 174 1 44 1936 14884 0 10 175 1 32 1024 27400 1 12 176 1 47 2209 16400 0 5 177 1 46 2116 25704 1 17 178 1 37 1369 12800 0 11 179 1 51 2601 40000 1 12 180 1 49 2401 47000 1 12 181 1 36 1296 25872 1 14 182 1 39 1521 26868 1 11 183 1 48 2304 18000 1 12 184 1 38 1444 30200 1 14 185 1 40 1600 26220 1 12 186 1 39 1521 40500 1 10 187 1 37 1369 33570 0 16 188 1 49 2401 16917 1 13 189 1 33 1089 18000 1 12 190 1 30 900 8337 0 12 191 1 54 2916 17100 0 12 192 1 39 1521 17800 1 11 193 1 43 1849 13740 1 12 194 1 31 961 27000 1 9 195 1 33 1089 32600 1 13 196 1 40 1600 28030 1 12 197 1 36 1296 23100 1 12 198 1 51 2601 24580 0 12 199 1 44 1936 29000 1 13 200 1 42 1764 42430 1 16 201 1 40 1600 41800 1 12 202 1 34 1156 39100 1 16 203 1 30 900 31800 0 17 204 1 54 2916 22200 0 12 205 1 51 2601 19500 0 12 206 1 44 1936 14027 1 9 207 1 43 1849 21195 1 12 208 1 34 1156 19013 1 12 209 1 45 2025 20900 0 13 210 1 39 1521 26820 0 12 211 1 50 2500 12800 0 12 212 1 52 2704 7850 0 12 213 1 41 1681 18600 1 12 214 1 59 3481 5380 0 10 215 1 52 2704 6114 0 12 216 1 46 2116 8234 0 16 217 1 41 1681 20646 1 12 218 1 33 1089 16640 1 11 219 1 45 2025 13900 0 12 220 1 36 1296 11500 1 10 221 1 48 2304 34000 1 12 222 1 47 2209 28700 1 12 223 1 45 2025 9563 0 12 224 1 37 1369 20960 1 12 225 1 46 2116 38590 1 16 226 1 43 1849 27900 1 17 227 1 42 1764 25633 1 12 228 1 34 1156 35200 1 17 229 1 52 2704 29500 0 12 230 1 37 1369 10000 1 12 231 1 37 1369 19800 1 12 232 1 52 2704 12900 0 8 233 1 30 900 26080 1 12 234 1 31 961 13066 1 13 235 1 38 1444 12500 1 12 236 1 43 1849 35600 1 12 237 1 49 2401 19424 1 8 238 1 55 3025 26250 0 12 239 1 38 1444 36525 1 17 240 1 52 2704 34700 0 17 241 1 48 2304 8311 0 12 242 1 32 1024 28626 1 13 243 1 32 1024 24400 1 12 244 1 38 1444 14025 1 12 245 1 46 2116 21367 1 12 246 1 40 1600 14136 1 12 247 1 31 961 19900 1 9 248 1 43 1849 37000 1 10 249 1 51 2601 18500 0 12 250 1 30 900 34550 1 16 251 1 52 2704 49620 0 13 252 1 30 900 10400 1 8 253 1 51 2601 33000 0 16 254 1 31 961 16200 1 13 255 1 34 1156 22660 1 12 256 1 49 2401 16000 0 11 257 1 35 1225 25780 1 13 258 1 53 2809 20675 1 12 259 1 32 1024 40213 1 12 260 1 38 1444 15500 1 10 261 1 54 2916 35207 0 12 262 1 47 2209 35702 1 17 263 1 45 2025 17800 1 15 264 1 47 2209 50900 1 16 265 1 59 3481 17280 0 10 266 1 32 1024 15150 1 11 267 1 45 2025 36200 1 12 268 1 40 1600 17465 1 12 269 1 47 2209 45205 1 14 270 1 36 1296 14500 1 16 271 1 56 3136 32011 0 14 272 1 41 1681 35200 1 8 273 1 48 2304 13579 1 7 274 1 36 1296 10455 1 12 275 1 41 1681 32600 0 12 276 1 41 1681 19150 0 14 277 1 36 1296 24400 1 12 278 1 37 1369 21700 1 12 279 1 38 1444 26201 0 12 280 1 43 1849 11920 1 14 281 1 54 2916 16300 0 16 282 1 38 1444 16500 1 12 283 1 30 900 30000 1 12 284 1 49 2401 62500 0 12 285 1 45 2025 58500 1 13 286 1 51 2601 40900 0 13 287 1 34 1156 16308 0 10 288 1 34 1156 9300 1 12 289 1 41 1681 35700 1 12 290 1 49 2401 35700 1 12 291 1 32 1024 24500 0 12 292 1 32 1024 13000 0 14 293 1 32 1024 52600 1 17 294 1 47 2209 25360 0 10 295 1 39 1521 9400 1 9 296 1 49 2401 26800 0 12 297 1 37 1369 33040 1 12 298 1 59 3481 26350 0 16 299 1 50 2500 39000 0 12 300 1 32 1024 35100 1 17 301 1 46 2116 22502 0 12 302 1 43 1849 21950 1 17 303 1 37 1369 13000 1 11 304 1 32 1024 18180 1 16 305 1 39 1521 20957 1 11 306 1 34 1156 13700 1 13 307 1 39 1521 20000 1 11 308 1 45 2025 12260 1 8 309 1 50 2500 24850 0 11 310 1 40 1600 29150 1 12 311 1 30 900 23591 1 10 312 1 57 3249 24717 0 17 313 1 39 1521 30455 1 12 314 1 53 2809 19600 0 12 315 1 48 2304 31875 1 17 316 1 46 2116 24055 1 14 317 1 47 2209 18795 0 12 318 1 43 1849 12198 1 12 319 1 47 2209 52645 0 12 320 1 47 2209 16600 1 12 321 1 47 2209 32590 0 12 322 1 46 2116 10020 0 12 323 1 34 1156 12048 1 9 324 1 48 2304 39750 0 10 325 1 30 900 15700 1 12 326 1 51 2601 24250 1 12 327 1 52 2704 43210 1 12 328 1 37 1369 37100 1 12 329 1 32 1024 23820 1 12 330 1 36 1296 31600 1 17 331 1 35 1225 24000 1 12 332 1 45 2025 30750 0 17 333 1 56 3136 11050 0 12 334 1 40 1600 12239 1 10 335 1 45 2025 12870 1 12 336 1 32 1024 17200 1 12 337 1 45 2025 23980 0 12 338 1 40 1600 18600 1 12 339 1 38 1444 23920 1 12 340 1 49 2401 16084 1 12 341 1 47 2209 31100 1 16 342 1 52 2704 20460 0 13 343 1 34 1156 36000 1 13 344 1 44 1936 17302 1 12 345 1 36 1296 16450 1 16 346 1 50 2500 41170 0 17 347 1 45 2025 20130 0 12 348 1 44 1936 9200 1 14 349 1 57 3249 24751 1 12 350 1 35 1225 57300 0 17 351 1 46 2116 37200 0 12 352 1 30 900 14000 1 14 353 1 42 1764 20610 1 12 354 1 34 1156 14800 1 12 355 1 45 2025 40005 1 17 356 1 35 1225 23750 1 16 357 1 40 1600 35300 0 16 358 1 32 1024 17350 1 12 359 1 54 2916 21650 0 9 360 1 38 1444 6740 1 12 361 1 43 1849 32275 1 12 362 1 54 2916 33220 0 16 363 1 39 1521 26500 1 14 364 1 37 1369 38700 1 12 365 1 46 2116 15400 1 12 366 1 56 3136 19007 0 11 367 1 41 1681 16771 1 12 368 1 45 2025 31100 1 16 369 1 44 1936 66300 1 17 370 1 50 2500 43550 1 17 371 1 37 1369 37250 1 14 372 1 44 1936 24900 1 12 373 1 32 1024 24200 1 14 374 1 34 1156 16200 1 12 375 1 32 1024 11431 1 10 376 1 37 1369 13200 1 12 377 1 44 1936 15420 1 13 378 1 34 1156 18400 1 16 379 1 33 1089 43500 1 12 380 1 43 1849 21972 1 7 381 1 35 1225 7774 1 16 382 1 43 1849 24470 1 14 383 1 34 1156 13600 0 12 384 1 36 1296 22500 1 10 385 1 41 1681 13600 1 12 386 1 41 1681 90800 0 16 387 1 35 1225 10776 1 10 388 1 32 1024 19007 1 12 389 1 30 900 23900 0 14 390 1 43 1849 26060 0 12 391 1 54 2916 13300 0 6 392 1 35 1225 15620 1 15 393 1 50 2500 16500 0 12 394 1 34 1156 20880 1 17 395 1 52 2704 30600 0 14 396 1 35 1225 39000 1 13 397 1 55 3025 15428 0 6 398 1 35 1225 23300 0 16 399 1 49 2401 42100 1 14 400 1 38 1444 36430 1 15 401 1 42 1764 26000 1 14 402 1 48 2304 62060 1 8 403 1 51 2601 28300 0 14 404 1 43 1849 24149 1 12 405 1 43 1849 28141 1 12 406 1 38 1444 23057 1 12 407 1 44 1936 28900 1 12 408 1 36 1296 24000 1 12 409 1 38 1444 13900 0 12 410 1 47 2209 31810 0 8 411 1 34 1156 19840 1 12 412 1 40 1600 25490 1 17 413 1 31 961 20800 1 12 414 1 46 2116 2400 0 12 415 1 36 1296 32650 1 14 416 1 39 1521 16370 1 13 417 1 36 1296 35500 1 17 418 1 37 1369 15100 1 8 419 1 39 1521 14100 1 12 420 1 36 1296 19600 1 11 421 1 49 2401 19434 1 12 422 1 45 2025 23882 1 12 423 1 32 1024 17300 1 17 424 1 36 1296 19772 1 10 425 1 40 1600 35641 1 12 426 1 43 1849 34220 1 13 427 1 33 1089 30000 1 12 428 1 30 900 18000 1 12 429 1 49 2401 21025 1 12 430 1 30 900 23600 1 16 431 1 30 900 22800 1 12 432 1 41 1681 35910 1 12 433 1 45 2025 21700 1 12 434 1 43 1849 21823 1 12 435 1 42 1764 31000 1 13 436 1 60 3600 15300 0 12 437 1 57 3249 12925 0 12 438 1 38 1444 15830 1 10 439 1 56 3136 30200 0 12 440 1 32 1024 16600 1 12 441 1 49 2401 11000 1 7 442 1 55 3025 15000 0 12 443 1 36 1296 20528 1 9 444 1 44 1936 13126 1 12 445 1 44 1936 15550 1 10 446 1 35 1225 18010 1 14 447 1 44 1936 18874 1 14 448 1 45 2025 24800 1 12 449 1 34 1156 17500 1 12 450 1 30 900 16150 1 17 451 1 39 1521 15189 1 8 452 1 36 1296 6000 1 12 453 1 38 1444 37250 1 17 454 1 53 2809 27760 0 12 455 1 36 1296 9090 1 12 456 1 32 1024 14500 1 12 457 1 51 2601 19700 1 9 458 1 38 1444 16788 0 11 459 1 33 1089 18520 1 12 460 1 54 2916 20950 0 12 461 1 38 1444 7574 1 9 462 1 30 900 10027 1 11 463 1 34 1156 5000 1 12 464 1 34 1156 7040 1 9 465 1 50 2500 40800 1 12 466 1 30 900 16050 1 17 467 1 38 1444 33100 1 12 468 1 54 2916 33856 0 14 469 1 30 900 20500 1 12 470 1 55 3025 28600 0 12 471 1 51 2601 18750 1 10 472 1 44 1936 20300 1 12 473 1 53 2809 13420 0 12 474 1 42 1764 18400 1 10 475 1 38 1444 16682 1 12 476 1 38 1444 32685 1 13 477 1 41 1681 7050 1 12 478 1 35 1225 10867 1 8 479 1 33 1089 18220 1 12 480 1 48 2304 26613 0 13 481 1 47 2209 25000 0 12 482 1 34 1156 15700 1 12 483 1 33 1089 40250 1 13 484 1 31 961 73600 1 13 485 1 58 3364 10592 0 8 486 1 49 2401 8000 0 12 487 1 55 3025 13400 1 8 488 1 44 1936 23700 0 14 489 1 44 1936 18900 0 9 490 1 36 1296 48300 1 16 491 1 38 1444 24470 1 12 492 1 37 1369 28630 1 16 493 1 47 2209 25320 0 12 494 1 47 2209 13530 1 12 495 1 32 1024 14800 1 12 496 1 43 1849 17400 1 12 497 1 42 1764 15980 1 11 498 1 56 3136 16576 0 12 499 1 38 1444 21850 1 13 500 1 52 2704 14600 1 12 501 1 50 2500 21600 0 12 502 1 33 1089 24000 0 16 503 1 44 1936 20883 1 16 504 1 41 1681 19500 1 12 505 1 45 2025 42800 1 12 506 1 53 2809 41500 0 14 507 1 53 2809 18965 0 14 508 1 42 1764 16100 1 12 509 1 32 1024 14700 1 13 510 1 56 3136 18800 0 12 511 1 37 1369 14750 1 11 512 1 40 1600 21000 1 12 513 1 54 2916 35400 1 15 514 1 53 2809 10700 0 7 515 1 48 2304 24500 1 12 516 1 36 1296 17045 1 12 517 1 57 3249 18800 0 12 518 1 51 2601 14000 0 12 519 1 33 1089 18214 1 13 520 1 52 2704 20177 0 12 521 1 56 3136 8300 0 10 522 1 36 1296 14200 1 12 523 1 36 1296 21768 1 14 524 1 46 2116 29553 1 12 525 1 31 961 4350 1 10 526 1 52 2704 24000 0 11 527 1 46 2116 18300 1 12 528 1 35 1225 17200 1 12 529 1 59 3481 16476 0 12 530 1 36 1296 13400 1 8 531 1 51 2601 44988 1 7 532 1 31 961 18200 1 16 533 1 31 961 28000 1 14 534 1 32 1024 11550 1 12 535 1 35 1225 28450 1 16 536 1 40 1600 15096 1 12 537 1 33 1089 8009 1 10 538 1 54 2916 10040 0 7 539 1 36 1296 16700 1 12 540 1 50 2500 8400 1 10 541 1 54 2916 13000 0 8 542 1 48 2304 17970 1 11 543 1 41 1681 18450 1 15 544 1 50 2500 31000 1 12 545 1 46 2116 24135 1 12 546 1 42 1764 31700 1 13 547 1 31 961 10190 1 9 548 1 53 2809 21574 0 12 549 1 51 2601 26680 1 12 550 1 47 2209 17700 1 12 551 1 50 2500 29400 1 12 552 1 37 1369 22159 1 6 553 1 30 900 35000 1 12 554 1 49 2401 8630 0 12 555 1 52 2704 17080 1 12 556 1 47 2209 32500 1 12 557 1 49 2401 16000 0 12 558 1 44 1936 18850 1 12 559 1 53 2809 17500 0 8 560 1 30 900 19392 1 12 561 1 54 2916 14450 1 12 562 1 47 2209 21800 1 7 563 1 56 3136 7700 0 15 564 1 49 2401 31800 1 12 565 1 48 2304 17258 0 6 566 1 49 2401 13399 1 12 567 1 56 3136 16073 1 12 568 1 46 2116 23260 0 12 569 1 45 2025 37300 1 12 570 1 32 1024 11000 1 12 571 1 43 1849 13075 1 12 572 1 34 1156 13700 1 12 573 1 30 900 25100 1 12 574 1 38 1444 18600 1 17 575 1 33 1089 29000 1 16 576 1 52 2704 19237 0 12 577 1 43 1849 19855 1 11 578 1 33 1089 9450 1 12 579 1 45 2025 30000 0 10 580 1 36 1296 15000 1 10 581 1 34 1156 24701 1 12 582 1 37 1369 15900 1 14 583 1 46 2116 16240 1 10 584 1 47 2209 21100 0 12 585 1 31 961 23000 1 16 586 1 57 3249 6340 0 5 587 1 30 900 42250 1 12 588 1 30 900 14694 0 12 589 1 44 1936 21417 1 12 590 1 53 2809 20200 0 13 591 1 51 2601 12090 0 8 592 1 39 1521 24760 1 12 593 1 52 2704 23000 0 8 594 1 46 2116 19365 1 8 595 1 47 2209 5550 1 12 596 1 52 2704 68035 1 8 597 1 45 2025 29300 1 12 598 1 60 3600 18500 0 11 599 1 41 1681 22582 1 13 600 1 39 1521 21500 1 8 601 1 49 2401 28070 1 12 602 1 32 1024 50300 1 15 603 1 33 1089 23500 1 12 604 1 36 1296 15500 1 10 605 1 37 1369 13440 1 13 606 1 30 900 8100 1 12 607 1 44 1936 9800 1 11 608 1 48 2304 20300 1 12 609 1 40 1600 15000 1 11 610 1 47 2209 56100 0 13 611 1 36 1296 22846 1 12 612 1 40 1600 22225 1 11 613 1 46 2116 17635 1 12 614 1 52 2704 18500 0 12 615 1 44 1936 13390 1 12 616 1 45 2025 15150 1 10 617 1 30 900 16200 1 7 618 1 40 1600 33920 1 12 619 1 43 1849 14000 1 12 620 1 49 2401 16736 1 12 621 1 46 2116 30650 1 12 622 1 52 2704 12400 0 11 623 1 31 961 19022 1 12 624 1 42 1764 11203 1 10 625 1 33 1089 19876 1 11 626 1 57 3249 57000 0 16 627 1 49 2401 18290 0 10 628 1 45 2025 20220 1 14 629 1 56 3136 22150 0 11 630 1 41 1681 30623 1 12 631 1 56 3136 9380 0 5 632 1 48 2304 22000 1 10 633 1 52 2704 23675 1 16 634 1 51 2601 33671 0 12 635 1 35 1225 12367 1 11 636 1 45 2025 21950 0 12 637 1 54 2916 32000 0 12 638 1 54 2916 22610 1 12 639 1 31 961 12092 1 12 640 1 53 2809 3777 1 6 641 1 35 1225 36000 1 14 642 1 36 1296 26900 1 12 643 1 59 3481 32242 0 12 644 1 54 2916 35020 0 16 645 1 37 1369 37600 1 12 646 1 44 1936 1500 0 12 647 1 34 1156 96000 1 17 648 1 49 2401 18150 0 12 649 1 49 2401 15500 0 12 650 1 60 3600 14000 0 9 651 1 51 2601 14756 0 12 652 1 30 900 22000 1 12 653 1 47 2209 24466 1 12 654 1 36 1296 24400 1 12 655 1 35 1225 24000 1 12 656 1 58 3364 15500 0 12 657 1 41 1681 30800 1 14 658 1 51 2601 10660 1 10 659 1 47 2209 13350 0 12 660 1 45 2025 10090 1 9 661 1 60 3600 55600 0 14 662 1 30 900 25700 1 16 663 1 55 3025 29000 0 11 664 1 32 1024 7286 1 12 665 1 36 1296 37752 1 12 666 1 55 3025 13072 0 12 667 1 47 2209 7044 0 12 668 1 47 2209 18200 1 12 669 1 37 1369 27000 1 11 670 1 50 2500 30300 1 12 671 1 30 900 12000 1 12 672 1 48 2304 31500 1 17 673 1 43 1849 27092 1 10 674 1 48 2304 20968 1 11 675 1 41 1681 27000 1 14 676 1 50 2500 11225 0 12 677 1 58 3364 37700 0 8 678 1 38 1444 28200 1 13 679 1 37 1369 34000 1 12 680 1 50 2500 63200 0 16 681 1 42 1764 7500 1 8 682 1 37 1369 17410 1 9 683 1 41 1681 51000 1 16 684 1 31 961 12916 1 12 685 1 51 2601 21900 0 12 686 1 36 1296 17640 1 12 687 1 54 2916 20000 0 15 688 1 49 2401 15000 0 12 689 1 48 2304 14060 1 9 690 1 42 1764 15825 1 9 691 1 41 1681 16510 1 12 692 1 55 3025 13000 0 16 693 1 42 1764 10000 0 9 694 1 32 1024 22000 1 15 695 1 43 1849 29800 1 12 696 1 33 1089 15000 1 12 697 1 48 2304 22300 1 15 698 1 43 1849 14550 1 12 699 1 47 2209 19730 1 17 700 1 54 2916 35000 0 12 701 1 51 2601 21014 1 12 702 1 51 2601 10876 1 10 703 1 43 1849 27850 1 13 704 1 53 2809 9560 0 12 705 1 34 1156 30300 1 11 706 1 31 961 7720 1 8 707 1 56 3136 10550 0 12 708 1 42 1764 24106 1 16 709 1 32 1024 22995 1 12 710 1 35 1225 6000 1 12 711 1 30 900 24350 1 12 712 1 51 2601 7608 0 10 713 1 47 2209 28200 1 12 714 1 54 2916 16150 1 12 715 1 31 961 51200 1 15 716 1 47 2209 12646 0 10 717 1 47 2209 19000 1 14 718 1 40 1600 19000 1 12 719 1 48 2304 14400 0 8 720 1 34 1156 7232 1 8 721 1 38 1444 21943 1 12 722 1 32 1024 47500 1 12 723 1 48 2304 28900 1 16 724 1 41 1681 12400 1 12 725 1 49 2401 6531 1 5 726 1 59 3481 22422 0 8 727 1 58 3364 22200 0 13 728 1 41 1681 77000 1 12 729 1 45 2025 88000 1 12 730 1 30 900 26040 1 14 731 1 41 1681 63500 1 12 732 1 30 900 12100 1 12 733 1 53 2809 17505 1 12 734 1 31 961 18000 0 12 735 1 43 1849 28069 1 14 736 1 31 961 14000 1 12 737 1 51 2601 8117 0 12 738 1 43 1849 11895 0 9 739 1 31 961 45250 1 14 740 1 48 2304 31106 0 11 741 1 31 961 4000 1 12 742 1 44 1936 40500 1 12 743 1 48 2304 21620 1 11 744 1 53 2809 23426 1 12 745 1 42 1764 26000 1 10 746 1 39 1521 7840 1 12 747 1 32 1024 6800 1 10 748 1 36 1296 5330 1 12 749 1 40 1600 28200 1 13 750 1 31 961 10000 1 12 751 1 43 1849 9952 0 12 752 1 60 3600 24984 0 12 753 1 39 1521 28363 1 9 attr(,"assign") [1] 0 1 2 3 4 5 attr(,"contrasts") attr(,"contrasts")$kids [1] "contr.treatment" > all.equal( model.frame( greene )[,-c(2,12)], model.frame( greeneMl ), + check.attributes = FALSE ) [1] "Component \"I(age^2)\": target is numeric, current is AsIs" [2] "Component 5: target is numeric, current is logical" [3] "Component \"wage\": 'is.NA' value mismatch: 0 in current 325 in target" [4] "Component \"exper\": 'is.NA' value mismatch: 0 in current 325 in target" [5] "Component \"I(exper^2)\": target is numeric, current is AsIs" [6] "Component \"city\": 'is.NA' value mismatch: 0 in current 325 in target" > model.frame( greeneMl ) lfp age I(age^2) faminc kids educ wage exper I(exper^2) city 1 1 32 1024 16310 TRUE 12 3.354 14 196 0 2 1 30 900 21800 TRUE 12 1.389 5 25 1 3 1 35 1225 21040 TRUE 12 4.545 15 225 0 4 1 34 1156 7300 TRUE 12 1.097 6 36 0 5 1 31 961 27300 TRUE 14 4.592 7 49 1 6 1 54 2916 19495 FALSE 12 4.742 33 1089 1 7 1 37 1369 21152 TRUE 16 8.333 11 121 0 8 1 54 2916 18900 FALSE 12 7.843 35 1225 0 9 1 48 2304 20405 TRUE 12 2.126 24 576 0 10 1 39 1521 20425 TRUE 12 4.688 21 441 0 11 1 33 1089 32300 TRUE 12 4.063 15 225 0 12 1 42 1764 28700 TRUE 11 4.592 14 196 0 13 1 30 900 15500 TRUE 12 2.083 0 0 0 14 1 43 1849 16860 TRUE 12 2.267 14 196 1 15 1 43 1849 31431 TRUE 10 3.680 6 36 1 16 1 35 1225 19180 TRUE 11 1.347 9 81 1 17 1 43 1849 18600 TRUE 12 3.214 20 400 1 18 1 39 1521 19151 TRUE 12 5.175 6 36 1 19 1 45 2025 18100 FALSE 12 2.000 23 529 1 20 1 35 1225 20300 TRUE 12 7.553 9 81 0 21 1 42 1764 30419 TRUE 16 3.505 5 25 0 22 1 30 900 14090 FALSE 12 3.571 11 121 0 23 1 48 2304 22679 FALSE 13 3.250 18 324 1 24 1 45 2025 12160 FALSE 12 3.250 15 225 0 25 1 31 961 12487 TRUE 12 2.155 4 16 1 26 1 43 1849 29850 TRUE 17 3.788 21 441 1 27 1 59 3481 18100 FALSE 12 4.000 31 961 1 28 1 32 1024 26000 TRUE 12 4.727 9 81 1 29 1 31 961 26100 TRUE 17 7.256 7 49 0 30 1 42 1764 17730 FALSE 12 5.867 7 49 0 31 1 50 2500 6719 FALSE 11 1.538 32 1024 1 32 1 59 3481 18550 FALSE 16 2.459 11 121 1 33 1 36 1296 24600 TRUE 13 5.851 16 256 0 34 1 51 2601 23100 TRUE 12 3.571 14 196 1 35 1 45 2025 24656 TRUE 16 3.807 27 729 1 36 1 42 1764 15897 TRUE 11 2.464 0 0 0 37 1 46 2116 20320 FALSE 12 2.375 17 289 1 38 1 46 2116 21384 TRUE 10 4.535 28 784 0 39 1 51 2601 25561 FALSE 14 5.618 24 576 0 40 1 30 900 36550 FALSE 17 14.631 11 121 1 41 1 30 900 15810 TRUE 12 2.679 1 1 0 42 1 57 3249 25500 FALSE 12 3.919 14 196 1 43 1 31 961 24000 TRUE 16 2.573 6 36 1 44 1 48 2304 22172 TRUE 12 4.537 10 100 0 45 1 30 900 17930 TRUE 12 2.000 6 36 0 46 1 34 1156 7000 TRUE 12 3.472 4 16 0 47 1 48 2304 25300 TRUE 16 2.016 10 100 1 48 1 45 2025 16212 FALSE 12 4.572 22 484 0 49 1 51 2601 22650 FALSE 12 2.273 16 256 0 50 1 30 900 6985 TRUE 12 2.638 6 36 0 51 1 46 2116 30000 TRUE 12 2.290 12 144 1 52 1 58 3364 18500 FALSE 12 1.099 32 1024 1 53 1 37 1369 16658 TRUE 12 1.177 15 225 0 54 1 52 2704 10300 FALSE 8 1.600 17 289 1 55 1 52 2704 11000 FALSE 10 1.876 34 1156 0 56 1 31 961 19900 FALSE 16 4.044 9 81 1 57 1 55 3025 32500 FALSE 14 9.635 37 1369 1 58 1 34 1156 37300 FALSE 17 8.041 10 100 1 59 1 55 3025 30018 FALSE 14 4.599 35 1225 1 60 1 39 1521 12807 TRUE 12 2.143 6 36 1 61 1 40 1600 39500 TRUE 14 4.400 19 361 0 62 1 43 1849 22050 TRUE 12 3.535 10 100 1 63 1 48 2304 15500 FALSE 8 2.717 11 121 1 64 1 47 2209 13810 FALSE 12 6.250 15 225 1 65 1 41 1681 11950 TRUE 12 11.933 12 144 1 66 1 36 1296 19175 FALSE 8 3.593 12 144 0 67 1 46 2116 17900 TRUE 17 6.944 14 196 0 68 1 34 1156 15850 FALSE 12 2.917 11 121 1 69 1 41 1681 27017 TRUE 12 3.077 9 81 1 70 1 51 2601 18900 TRUE 12 3.750 24 576 0 71 1 33 1089 21800 FALSE 12 5.726 12 144 1 72 1 52 2704 33552 FALSE 12 3.676 13 169 1 73 1 58 3364 22650 FALSE 9 5.165 29 841 1 74 1 34 1156 15200 TRUE 10 8.224 11 121 1 75 1 31 961 13120 TRUE 12 4.337 13 169 1 76 1 48 2304 21660 TRUE 12 4.982 19 361 1 77 1 32 1024 18190 TRUE 12 0.357 2 4 0 78 1 49 2401 9600 FALSE 17 2.967 24 576 1 79 1 32 1024 13755 TRUE 15 1.000 9 81 1 80 1 58 3364 35350 FALSE 12 2.555 6 36 1 81 1 50 2500 12405 FALSE 6 0.860 22 484 1 82 1 60 3600 12180 FALSE 14 1.000 30 900 0 83 1 50 2500 22962 TRUE 12 2.926 10 100 1 84 1 56 3136 25700 FALSE 14 3.546 6 36 1 85 1 51 2601 3305 FALSE 9 1.626 29 841 0 86 1 54 2916 32950 TRUE 17 8.333 29 841 1 87 1 59 3481 17000 FALSE 13 3.095 36 1296 1 88 1 46 2116 13250 TRUE 9 2.700 19 361 1 89 1 46 2116 50750 TRUE 15 5.252 8 64 1 90 1 39 1521 15632 TRUE 12 1.415 13 169 0 91 1 44 1936 28316 TRUE 12 4.799 16 256 1 92 1 33 1089 17290 TRUE 12 1.667 11 121 1 93 1 33 1089 33600 TRUE 12 1.122 15 225 1 94 1 48 2304 29200 TRUE 12 0.500 6 36 1 95 1 31 961 19870 TRUE 12 0.714 13 169 0 96 1 45 2025 16225 TRUE 12 2.796 22 484 0 97 1 45 2025 28600 TRUE 12 4.858 24 576 1 98 1 32 1024 30800 TRUE 13 1.744 2 4 1 99 1 47 2209 25700 FALSE 12 2.463 6 36 0 100 1 34 1156 27000 TRUE 13 2.421 2 4 0 101 1 37 1369 12077 TRUE 12 1.534 2 4 1 102 1 36 1296 29612 TRUE 12 2.882 14 196 0 103 1 47 2209 24479 TRUE 12 2.407 9 81 1 104 1 48 2304 79750 TRUE 16 5.233 11 121 1 105 1 42 1764 20050 TRUE 12 3.750 9 81 0 106 1 33 1089 21500 TRUE 13 1.389 6 36 1 107 1 46 2116 16120 FALSE 11 4.000 19 361 0 108 1 47 2209 24686 TRUE 12 3.231 26 676 0 109 1 44 1936 24669 TRUE 12 3.401 19 361 1 110 1 36 1296 26400 TRUE 12 1.333 3 9 1 111 1 31 961 16245 TRUE 17 9.302 7 49 1 112 1 55 3025 23300 FALSE 14 4.500 28 784 1 113 1 45 2025 27200 TRUE 16 4.623 13 169 1 114 1 47 2209 51000 FALSE 17 3.956 9 81 1 115 1 46 2116 55000 TRUE 12 5.814 15 225 1 116 1 49 2401 15389 FALSE 11 0.500 20 400 1 117 1 49 2401 23150 FALSE 12 4.082 29 841 1 118 1 45 2025 29774 TRUE 12 6.000 9 81 1 119 1 38 1444 91044 TRUE 17 3.667 1 1 1 120 1 47 2209 28200 FALSE 10 3.861 8 64 1 121 1 54 2916 36150 TRUE 13 2.763 19 361 1 122 1 41 1681 15652 FALSE 11 2.931 23 529 0 123 1 43 1849 18900 TRUE 12 4.388 3 9 0 124 1 31 961 23600 TRUE 16 5.417 13 169 0 125 1 47 2209 36200 FALSE 17 9.861 8 64 1 126 1 35 1225 18700 TRUE 12 0.162 17 289 0 127 1 45 2025 24125 TRUE 16 0.383 4 16 1 128 1 33 1089 15800 TRUE 12 3.636 15 225 0 129 1 54 2916 19742 TRUE 16 2.375 11 121 0 130 1 35 1225 22600 TRUE 8 4.667 7 49 0 131 1 31 961 17500 TRUE 12 1.852 0 0 0 132 1 55 3025 19820 FALSE 12 5.200 0 0 0 133 1 34 1156 20155 TRUE 12 3.299 10 100 1 134 1 38 1444 37300 TRUE 13 8.533 8 64 1 135 1 45 2025 24860 TRUE 11 2.063 2 4 1 136 1 47 2209 21450 TRUE 12 2.564 4 16 1 137 1 39 1521 29650 TRUE 12 2.188 6 36 1 138 1 36 1296 23000 TRUE 14 6.250 18 324 1 139 1 33 1089 21120 TRUE 12 3.333 3 9 1 140 1 50 2500 26000 FALSE 12 4.444 22 484 1 141 1 58 3364 28000 FALSE 12 6.633 33 1089 1 142 1 49 2401 45500 FALSE 17 8.422 28 784 1 143 1 41 1681 16000 TRUE 14 4.396 23 529 1 144 1 51 2601 18232 TRUE 12 2.446 27 729 0 145 1 53 2809 28160 FALSE 9 1.224 11 121 1 146 1 36 1296 5965 TRUE 12 1.625 6 36 1 147 1 46 2116 19000 TRUE 12 3.000 11 121 1 148 1 36 1296 36872 TRUE 12 4.727 14 196 1 149 1 53 2809 42000 TRUE 14 1.129 17 289 1 150 1 40 1600 26900 TRUE 16 7.402 17 289 1 151 1 42 1764 30800 TRUE 17 4.460 14 196 0 152 1 33 1089 21520 TRUE 15 2.473 11 121 1 153 1 43 1849 24795 TRUE 12 1.882 7 49 1 154 1 31 961 12900 TRUE 16 4.000 8 64 1 155 1 47 2209 42700 FALSE 17 8.190 6 36 1 156 1 54 2916 38800 FALSE 17 7.097 8 64 1 157 1 33 1089 2500 TRUE 12 1.667 4 16 0 158 1 43 1849 26921 FALSE 16 3.445 25 625 1 159 1 46 2116 18300 TRUE 13 4.235 24 576 0 160 1 35 1225 17200 TRUE 12 2.778 11 121 1 161 1 37 1369 14209 TRUE 11 1.889 19 361 1 162 1 37 1369 32300 TRUE 16 5.035 9 81 1 163 1 34 1156 21400 TRUE 14 1.250 19 361 1 164 1 43 1849 14700 TRUE 16 2.857 14 196 0 165 1 46 2116 25516 FALSE 12 4.117 22 484 1 166 1 35 1225 13300 TRUE 9 1.778 6 36 1 167 1 46 2116 31000 FALSE 17 13.554 23 529 1 168 1 46 2116 48800 FALSE 14 4.563 15 225 1 169 1 43 1849 15519 TRUE 12 2.128 6 36 1 170 1 30 900 19500 FALSE 12 2.989 11 121 0 171 1 41 1681 14545 TRUE 11 2.565 2 4 0 172 1 54 2916 22897 TRUE 12 5.612 22 484 1 173 1 31 961 14300 TRUE 12 2.805 10 100 1 174 1 44 1936 14884 FALSE 10 1.607 14 196 1 175 1 32 1024 27400 TRUE 12 2.250 12 144 1 176 1 47 2209 16400 FALSE 5 2.033 9 81 1 177 1 46 2116 25704 TRUE 17 5.532 13 169 0 178 1 37 1369 12800 FALSE 11 1.585 18 324 0 179 1 51 2601 40000 TRUE 12 3.788 8 64 0 180 1 49 2401 47000 TRUE 12 3.000 11 121 1 181 1 36 1296 25872 TRUE 14 8.654 9 81 1 182 1 39 1521 26868 TRUE 11 4.210 9 81 1 183 1 48 2304 18000 TRUE 12 4.688 14 196 1 184 1 38 1444 30200 TRUE 14 4.098 9 81 1 185 1 40 1600 26220 TRUE 12 25.000 2 4 1 186 1 39 1521 40500 TRUE 10 2.633 12 144 0 187 1 37 1369 33570 FALSE 16 6.000 15 225 1 188 1 49 2401 16917 TRUE 13 5.413 11 121 1 189 1 33 1089 18000 TRUE 12 0.664 7 49 0 190 1 30 900 8337 FALSE 12 1.250 9 81 1 191 1 54 2916 17100 FALSE 12 2.275 19 361 0 192 1 39 1521 17800 TRUE 11 3.462 11 121 0 193 1 43 1849 13740 TRUE 12 4.167 8 64 1 194 1 31 961 27000 TRUE 9 4.469 13 169 1 195 1 33 1089 32600 TRUE 13 1.750 4 16 1 196 1 40 1600 28030 TRUE 12 3.669 7 49 1 197 1 36 1296 23100 TRUE 12 6.583 19 361 0 198 1 51 2601 24580 FALSE 12 2.600 14 196 1 199 1 44 1936 29000 TRUE 13 4.865 14 196 1 200 1 42 1764 42430 TRUE 16 5.787 3 9 1 201 1 40 1600 41800 TRUE 12 4.541 9 81 1 202 1 34 1156 39100 TRUE 16 9.506 7 49 1 203 1 30 900 31800 FALSE 17 10.638 7 49 1 204 1 54 2916 22200 FALSE 12 1.111 14 196 0 205 1 51 2601 19500 FALSE 12 4.054 29 841 0 206 1 44 1936 14027 TRUE 9 2.687 19 361 0 207 1 43 1849 21195 TRUE 12 2.976 14 196 1 208 1 34 1156 19013 TRUE 12 3.173 16 256 0 209 1 45 2025 20900 FALSE 13 3.550 10 100 1 210 1 39 1521 26820 FALSE 12 17.907 12 144 0 211 1 50 2500 12800 FALSE 12 3.417 24 576 1 212 1 52 2704 7850 FALSE 12 3.333 6 36 0 213 1 41 1681 18600 TRUE 12 3.886 9 81 1 214 1 59 3481 5380 FALSE 10 2.311 14 196 0 215 1 52 2704 6114 FALSE 12 1.711 26 676 0 216 1 46 2116 8234 FALSE 16 2.114 7 49 0 217 1 41 1681 20646 TRUE 12 9.933 4 16 1 218 1 33 1089 16640 TRUE 11 3.028 15 225 0 219 1 45 2025 13900 FALSE 12 1.861 23 529 1 220 1 36 1296 11500 TRUE 10 0.128 1 1 0 221 1 48 2304 34000 TRUE 12 6.633 29 841 1 222 1 47 2209 28700 TRUE 12 5.639 9 81 1 223 1 45 2025 9563 FALSE 12 1.599 6 36 0 224 1 37 1369 20960 TRUE 12 2.667 11 121 0 225 1 46 2116 38590 TRUE 16 7.921 17 289 1 226 1 43 1849 27900 TRUE 17 5.340 6 36 1 227 1 42 1764 25633 TRUE 12 4.000 7 49 1 228 1 34 1156 35200 TRUE 17 6.045 2 4 1 229 1 52 2704 29500 FALSE 12 6.250 24 576 1 230 1 37 1369 10000 TRUE 12 2.976 4 16 0 231 1 37 1369 19800 TRUE 12 4.234 11 121 0 232 1 52 2704 12900 FALSE 8 3.492 25 625 0 233 1 30 900 26080 TRUE 12 4.965 11 121 0 234 1 31 961 13066 TRUE 13 2.769 2 4 1 235 1 38 1444 12500 TRUE 12 3.659 19 361 0 236 1 43 1849 35600 TRUE 12 5.394 7 49 1 237 1 49 2401 19424 TRUE 8 0.656 2 4 1 238 1 55 3025 26250 FALSE 12 4.769 20 400 1 239 1 38 1444 36525 TRUE 17 8.555 10 100 1 240 1 52 2704 34700 FALSE 17 10.459 19 361 1 241 1 48 2304 8311 FALSE 12 2.638 17 289 1 242 1 32 1024 28626 TRUE 13 6.849 12 144 1 243 1 32 1024 24400 TRUE 12 5.087 11 121 1 244 1 38 1444 14025 TRUE 12 0.962 6 36 1 245 1 46 2116 21367 TRUE 12 4.307 10 100 1 246 1 40 1600 14136 TRUE 12 7.067 4 16 0 247 1 31 961 19900 TRUE 9 2.525 2 4 1 248 1 43 1849 37000 TRUE 10 7.895 13 169 1 249 1 51 2601 18500 FALSE 12 4.149 21 441 0 250 1 30 900 34550 TRUE 16 8.175 9 81 1 251 1 52 2704 49620 FALSE 13 9.597 4 16 1 252 1 30 900 10400 TRUE 8 2.016 2 4 0 253 1 51 2601 33000 FALSE 16 7.622 19 361 1 254 1 31 961 16200 TRUE 13 3.197 4 16 1 255 1 34 1156 22660 TRUE 12 1.600 9 81 1 256 1 49 2401 16000 FALSE 11 4.098 14 196 1 257 1 35 1225 25780 TRUE 13 1.482 6 36 1 258 1 53 2809 20675 TRUE 12 3.636 24 576 1 259 1 32 1024 40213 TRUE 12 1.000 1 1 0 260 1 38 1444 15500 TRUE 10 2.604 13 169 1 261 1 54 2916 35207 FALSE 12 1.750 3 9 1 262 1 47 2209 35702 TRUE 17 4.800 10 100 1 263 1 45 2025 17800 TRUE 15 5.530 16 256 1 264 1 47 2209 50900 TRUE 16 4.098 9 81 1 265 1 59 3481 17280 FALSE 10 1.250 19 361 0 266 1 32 1024 15150 TRUE 11 1.667 4 16 1 267 1 45 2025 36200 TRUE 12 3.790 10 100 1 268 1 40 1600 17465 TRUE 12 2.364 5 25 1 269 1 47 2209 45205 TRUE 14 10.204 7 49 1 270 1 36 1296 14500 TRUE 16 6.818 3 9 0 271 1 56 3136 32011 FALSE 14 7.215 38 1444 0 272 1 41 1681 35200 TRUE 8 2.448 16 256 0 273 1 48 2304 13579 TRUE 7 1.199 13 169 0 274 1 36 1296 10455 TRUE 12 1.641 1 1 0 275 1 41 1681 32600 FALSE 12 1.782 7 49 0 276 1 41 1681 19150 FALSE 14 2.941 15 225 1 277 1 36 1296 24400 TRUE 12 4.969 10 100 1 278 1 37 1369 21700 TRUE 12 1.861 2 4 0 279 1 38 1444 26201 FALSE 12 8.036 19 361 1 280 1 43 1849 11920 TRUE 14 3.972 25 625 1 281 1 54 2916 16300 FALSE 16 3.042 25 625 1 282 1 38 1444 16500 TRUE 12 2.907 7 49 1 283 1 30 900 30000 TRUE 12 3.061 15 225 1 284 1 49 2401 62500 FALSE 12 4.897 11 121 1 285 1 45 2025 58500 TRUE 13 4.016 25 625 1 286 1 51 2601 40900 FALSE 13 5.556 19 361 1 287 1 34 1156 16308 FALSE 10 1.223 4 16 1 288 1 34 1156 9300 TRUE 12 2.684 14 196 1 289 1 41 1681 35700 TRUE 12 2.674 19 361 1 290 1 49 2401 35700 TRUE 12 9.329 18 324 1 291 1 32 1024 24500 FALSE 12 3.138 14 196 1 292 1 32 1024 13000 FALSE 14 0.543 11 121 1 293 1 32 1024 52600 TRUE 17 8.611 4 16 0 294 1 47 2209 25360 FALSE 10 3.669 29 841 1 295 1 39 1521 9400 TRUE 9 2.318 21 441 0 296 1 49 2401 26800 FALSE 12 2.882 24 576 1 297 1 37 1369 33040 TRUE 12 3.167 19 361 1 298 1 59 3481 26350 FALSE 16 3.646 31 961 1 299 1 50 2500 39000 FALSE 12 6.250 28 784 1 300 1 32 1024 35100 TRUE 17 10.249 15 225 1 301 1 46 2116 22502 FALSE 12 3.210 27 729 0 302 1 43 1849 21950 TRUE 17 7.652 13 169 0 303 1 37 1369 13000 TRUE 11 1.972 4 16 0 304 1 32 1024 18180 TRUE 16 4.698 10 100 1 305 1 39 1521 20957 TRUE 11 2.123 8 64 1 306 1 34 1156 13700 TRUE 13 2.333 4 16 0 307 1 39 1521 20000 TRUE 11 2.390 18 324 1 308 1 45 2025 12260 TRUE 8 1.256 3 9 1 309 1 50 2500 24850 FALSE 11 1.094 11 121 1 310 1 40 1600 29150 TRUE 12 3.750 8 64 1 311 1 30 900 23591 TRUE 10 3.307 10 100 1 312 1 57 3249 24717 FALSE 17 5.135 33 1089 1 313 1 39 1521 30455 TRUE 12 6.633 19 361 1 314 1 53 2809 19600 FALSE 12 4.564 35 1225 1 315 1 48 2304 31875 TRUE 17 11.848 21 441 1 316 1 46 2116 24055 TRUE 14 3.750 7 49 0 317 1 47 2209 18795 FALSE 12 4.365 18 324 0 318 1 43 1849 12198 TRUE 12 3.933 4 16 0 319 1 47 2209 52645 FALSE 12 3.333 12 144 1 320 1 47 2209 16600 TRUE 12 3.316 16 256 0 321 1 47 2209 32590 FALSE 12 3.562 14 196 1 322 1 46 2116 10020 FALSE 12 1.600 3 9 1 323 1 34 1156 12048 TRUE 9 2.225 1 1 0 324 1 48 2304 39750 FALSE 10 4.787 27 729 0 325 1 30 900 15700 TRUE 12 5.806 12 144 1 326 1 51 2601 24250 TRUE 12 2.358 6 36 0 327 1 52 2704 43210 TRUE 12 2.000 9 81 1 328 1 37 1369 37100 TRUE 12 1.900 2 4 0 329 1 32 1024 23820 TRUE 12 5.123 6 36 0 330 1 36 1296 31600 TRUE 17 5.495 9 81 1 331 1 35 1225 24000 TRUE 12 6.322 16 256 1 332 1 45 2025 30750 FALSE 17 7.143 22 484 0 333 1 56 3136 11050 FALSE 12 2.375 26 676 0 334 1 40 1600 12239 TRUE 10 2.543 11 121 0 335 1 45 2025 12870 TRUE 12 2.180 11 121 1 336 1 32 1024 17200 TRUE 12 2.600 15 225 0 337 1 45 2025 23980 FALSE 12 3.729 13 169 0 338 1 40 1600 18600 TRUE 12 4.375 6 36 1 339 1 38 1444 23920 TRUE 12 4.443 20 400 1 340 1 49 2401 16084 TRUE 12 4.288 17 289 1 341 1 47 2209 31100 TRUE 16 1.667 8 64 1 342 1 52 2704 20460 FALSE 13 3.256 13 169 1 343 1 34 1156 36000 TRUE 13 5.411 15 225 1 344 1 44 1936 17302 TRUE 12 2.205 14 196 0 345 1 36 1296 16450 TRUE 16 4.062 14 196 0 346 1 50 2500 41170 FALSE 17 0.648 6 36 1 347 1 45 2025 20130 FALSE 12 5.383 24 576 1 348 1 44 1936 9200 TRUE 14 0.171 10 100 1 349 1 57 3249 24751 TRUE 12 23.467 2 4 1 350 1 35 1225 57300 FALSE 17 9.579 9 81 1 351 1 46 2116 37200 FALSE 12 3.695 23 529 1 352 1 30 900 14000 TRUE 14 2.222 12 144 1 353 1 42 1764 20610 TRUE 12 1.749 8 64 0 354 1 34 1156 14800 TRUE 12 1.159 16 256 1 355 1 45 2025 40005 TRUE 17 6.990 10 100 1 356 1 35 1225 23750 TRUE 16 3.968 7 49 1 357 1 40 1600 35300 FALSE 16 21.429 19 361 1 358 1 32 1024 17350 TRUE 12 0.476 2 4 1 359 1 54 2916 21650 FALSE 9 2.151 9 81 1 360 1 38 1444 6740 TRUE 12 1.858 14 196 0 361 1 43 1849 32275 TRUE 12 4.330 9 81 1 362 1 54 2916 33220 FALSE 16 8.929 16 256 1 363 1 39 1521 26500 TRUE 14 2.778 7 49 1 364 1 37 1369 38700 TRUE 12 2.656 6 36 1 365 1 46 2116 15400 TRUE 12 2.500 22 484 1 366 1 56 3136 19007 FALSE 11 18.267 9 81 0 367 1 41 1681 16771 TRUE 12 0.819 9 81 0 368 1 45 2025 31100 TRUE 16 2.000 14 196 1 369 1 44 1936 66300 TRUE 17 15.385 17 289 1 370 1 50 2500 43550 TRUE 17 6.478 12 144 0 371 1 37 1369 37250 TRUE 14 8.333 13 169 0 372 1 44 1936 24900 TRUE 12 4.550 8 64 0 373 1 32 1024 24200 TRUE 14 2.496 10 100 1 374 1 34 1156 16200 TRUE 12 4.480 16 256 0 375 1 32 1024 11431 TRUE 10 2.232 1 1 0 376 1 37 1369 13200 TRUE 12 2.071 6 36 0 377 1 44 1936 15420 TRUE 13 1.676 4 16 1 378 1 34 1156 18400 TRUE 16 3.409 8 64 0 379 1 33 1089 43500 TRUE 12 2.500 4 16 1 380 1 43 1849 21972 TRUE 7 3.961 15 225 1 381 1 35 1225 7774 TRUE 16 6.228 7 49 0 382 1 43 1849 24470 TRUE 14 3.929 14 196 0 383 1 34 1156 13600 FALSE 12 2.900 16 256 0 384 1 36 1296 22500 TRUE 10 4.082 15 225 0 385 1 41 1681 13600 TRUE 12 2.850 23 529 0 386 1 41 1681 90800 FALSE 16 7.015 19 361 0 387 1 35 1225 10776 TRUE 10 2.939 4 16 0 388 1 32 1024 19007 TRUE 12 1.923 12 144 1 389 1 30 900 23900 FALSE 14 6.875 12 144 1 390 1 43 1849 26060 FALSE 12 3.900 25 625 1 391 1 54 2916 13300 FALSE 6 2.000 14 196 0 392 1 35 1225 15620 TRUE 15 4.976 14 196 0 393 1 50 2500 16500 FALSE 12 1.202 11 121 0 394 1 34 1156 20880 TRUE 17 22.500 7 49 1 395 1 52 2704 30600 FALSE 14 6.868 18 324 1 396 1 35 1225 39000 TRUE 13 3.561 4 16 1 397 1 55 3025 15428 FALSE 6 1.979 37 1369 0 398 1 35 1225 23300 FALSE 16 5.371 13 169 0 399 1 49 2401 42100 TRUE 14 1.744 14 196 1 400 1 38 1444 36430 TRUE 15 5.095 17 289 1 401 1 42 1764 26000 TRUE 14 2.500 5 25 1 402 1 48 2304 62060 TRUE 8 3.825 2 4 0 403 1 51 2601 28300 FALSE 14 1.000 0 0 1 404 1 43 1849 24149 TRUE 12 3.072 3 9 1 405 1 43 1849 28141 TRUE 12 1.716 21 441 1 406 1 38 1444 23057 TRUE 12 4.021 20 400 1 407 1 44 1936 28900 TRUE 12 5.458 19 361 1 408 1 36 1296 24000 TRUE 12 25.000 4 16 1 409 1 38 1444 13900 FALSE 12 2.390 19 361 0 410 1 47 2209 31810 FALSE 8 3.213 11 121 1 411 1 34 1156 19840 TRUE 12 3.377 14 196 0 412 1 40 1600 25490 TRUE 17 1.778 8 64 1 413 1 31 961 20800 TRUE 12 3.163 13 169 0 414 1 46 2116 2400 FALSE 12 2.703 24 576 1 415 1 36 1296 32650 TRUE 14 1.693 1 1 1 416 1 39 1521 16370 TRUE 13 0.214 1 1 1 417 1 36 1296 35500 TRUE 17 6.767 3 9 0 418 1 37 1369 15100 TRUE 8 1.741 4 16 0 419 1 39 1521 14100 TRUE 12 2.500 21 441 0 420 1 36 1296 19600 TRUE 11 4.486 10 100 0 421 1 49 2401 19434 TRUE 12 2.572 13 169 1 422 1 45 2025 23882 TRUE 12 3.460 9 81 1 423 1 32 1024 17300 TRUE 17 4.783 14 196 0 424 1 36 1296 19772 TRUE 10 2.312 2 4 0 425 1 40 1600 35641 TRUE 12 5.306 21 441 1 426 1 43 1849 34220 TRUE 13 5.867 22 484 1 427 1 33 1089 30000 TRUE 12 3.409 14 196 1 428 1 30 900 18000 TRUE 12 4.082 7 49 1 429 0 49 2401 21025 TRUE 12 0.000 2 4 1 430 0 30 900 23600 TRUE 16 0.000 5 25 1 431 0 30 900 22800 TRUE 12 0.000 12 144 0 432 0 41 1681 35910 TRUE 12 0.000 1 1 1 433 0 45 2025 21700 TRUE 12 0.000 12 144 1 434 0 43 1849 21823 TRUE 12 0.000 4 16 1 435 0 42 1764 31000 TRUE 13 0.000 9 81 1 436 0 60 3600 15300 FALSE 12 0.000 9 81 1 437 0 57 3249 12925 FALSE 12 0.000 6 36 1 438 0 38 1444 15830 TRUE 10 0.000 5 25 0 439 0 56 3136 30200 FALSE 12 0.000 5 25 1 440 0 32 1024 16600 TRUE 12 0.000 8 64 0 441 0 49 2401 11000 TRUE 7 0.000 2 4 1 442 0 55 3025 15000 FALSE 12 0.000 6 36 0 443 0 36 1296 20528 TRUE 9 0.000 0 0 0 444 0 44 1936 13126 TRUE 12 0.000 3 9 0 445 0 44 1936 15550 TRUE 10 0.000 7 49 1 446 0 35 1225 18010 TRUE 14 0.000 3 9 1 447 0 44 1936 18874 TRUE 14 0.000 10 100 0 448 0 45 2025 24800 TRUE 12 0.000 3 9 1 449 0 34 1156 17500 TRUE 12 0.000 2 4 1 450 0 30 900 16150 TRUE 17 0.000 12 144 1 451 0 39 1521 15189 TRUE 8 0.000 15 225 0 452 0 36 1296 6000 TRUE 12 0.000 5 25 0 453 0 38 1444 37250 TRUE 17 0.000 4 16 1 454 0 53 2809 27760 FALSE 12 0.000 10 100 1 455 0 36 1296 9090 TRUE 12 0.000 1 1 0 456 0 32 1024 14500 TRUE 12 0.000 8 64 1 457 0 51 2601 19700 TRUE 9 0.000 20 400 1 458 0 38 1444 16788 FALSE 11 0.000 4 16 1 459 0 33 1089 18520 TRUE 12 0.000 7 49 1 460 0 54 2916 20950 FALSE 12 0.000 10 100 1 461 0 38 1444 7574 TRUE 9 0.000 3 9 0 462 0 30 900 10027 TRUE 11 0.000 5 25 0 463 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TRUE 12 0.000 5 25 1 609 0 40 1600 15000 TRUE 11 0.000 4 16 1 610 0 47 2209 56100 FALSE 13 0.000 11 121 1 611 0 36 1296 22846 TRUE 12 0.000 9 81 1 612 0 40 1600 22225 TRUE 11 0.000 4 16 1 613 0 46 2116 17635 TRUE 12 0.000 2 4 1 614 0 52 2704 18500 FALSE 12 0.000 23 529 0 615 0 44 1936 13390 TRUE 12 0.000 3 9 0 616 0 45 2025 15150 TRUE 10 0.000 15 225 1 617 0 30 900 16200 TRUE 7 0.000 8 64 0 618 0 40 1600 33920 TRUE 12 0.000 3 9 1 619 0 43 1849 14000 TRUE 12 0.000 25 625 0 620 0 49 2401 16736 TRUE 12 0.000 2 4 1 621 0 46 2116 30650 TRUE 12 0.000 0 0 1 622 0 52 2704 12400 FALSE 11 0.000 19 361 0 623 0 31 961 19022 TRUE 12 0.000 3 9 1 624 0 42 1764 11203 TRUE 10 0.000 7 49 0 625 0 33 1089 19876 TRUE 11 0.000 1 1 1 626 0 57 3249 57000 FALSE 16 0.000 9 81 1 627 0 49 2401 18290 FALSE 10 0.000 3 9 1 628 0 45 2025 20220 TRUE 14 0.000 8 64 1 629 0 56 3136 22150 FALSE 11 0.000 0 0 1 630 0 41 1681 30623 TRUE 12 0.000 5 25 1 631 0 56 3136 9380 FALSE 5 0.000 20 400 1 632 0 48 2304 22000 TRUE 10 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657 0 41 1681 30800 TRUE 14 0.000 0 0 0 658 0 51 2601 10660 TRUE 10 0.000 3 9 1 659 0 47 2209 13350 FALSE 12 0.000 10 100 0 660 0 45 2025 10090 TRUE 9 0.000 10 100 0 661 0 60 3600 55600 FALSE 14 0.000 7 49 1 662 0 30 900 25700 TRUE 16 0.000 5 25 1 663 0 55 3025 29000 FALSE 11 0.000 15 225 1 664 0 32 1024 7286 TRUE 12 0.000 1 1 0 665 0 36 1296 37752 TRUE 12 0.000 5 25 0 666 0 55 3025 13072 FALSE 12 0.000 9 81 0 667 0 47 2209 7044 FALSE 12 0.000 18 324 0 668 0 47 2209 18200 TRUE 12 0.000 1 1 1 669 0 37 1369 27000 TRUE 11 0.000 0 0 0 670 0 50 2500 30300 TRUE 12 0.000 6 36 0 671 0 30 900 12000 TRUE 12 0.000 1 1 0 672 0 48 2304 31500 TRUE 17 0.000 2 4 0 673 0 43 1849 27092 TRUE 10 0.000 15 225 1 674 0 48 2304 20968 TRUE 11 0.000 25 625 0 675 0 41 1681 27000 TRUE 14 0.000 1 1 1 676 0 50 2500 11225 FALSE 12 0.000 0 0 1 677 0 58 3364 37700 FALSE 8 0.000 0 0 0 678 0 38 1444 28200 TRUE 13 0.000 0 0 1 679 0 37 1369 34000 TRUE 12 0.000 8 64 0 680 0 50 2500 63200 FALSE 16 0.000 22 484 1 681 0 42 1764 7500 TRUE 8 0.000 5 25 1 682 0 37 1369 17410 TRUE 9 0.000 10 100 1 683 0 41 1681 51000 TRUE 16 0.000 1 1 1 684 0 31 961 12916 TRUE 12 0.000 1 1 0 685 0 51 2601 21900 FALSE 12 0.000 6 36 1 686 0 36 1296 17640 TRUE 12 0.000 4 16 0 687 0 54 2916 20000 FALSE 15 0.000 6 36 0 688 0 49 2401 15000 FALSE 12 0.000 0 0 1 689 0 48 2304 14060 TRUE 9 0.000 1 1 0 690 0 42 1764 15825 TRUE 9 0.000 3 9 0 691 0 41 1681 16510 TRUE 12 0.000 15 225 1 692 0 55 3025 13000 FALSE 16 0.000 33 1089 0 693 0 42 1764 10000 FALSE 9 0.000 2 4 1 694 0 32 1024 22000 TRUE 15 0.000 1 1 1 695 0 43 1849 29800 TRUE 12 0.000 10 100 1 696 0 33 1089 15000 TRUE 12 0.000 0 0 1 697 0 48 2304 22300 TRUE 15 0.000 14 196 1 698 0 43 1849 14550 TRUE 12 0.000 15 225 1 699 0 47 2209 19730 TRUE 17 0.000 15 225 1 700 0 54 2916 35000 FALSE 12 0.000 10 100 1 701 0 51 2601 21014 TRUE 12 0.000 6 36 1 702 0 51 2601 10876 TRUE 10 0.000 18 324 0 703 0 43 1849 27850 TRUE 13 0.000 15 225 0 704 0 53 2809 9560 FALSE 12 0.000 30 900 0 705 0 34 1156 30300 TRUE 11 0.000 15 225 0 706 0 31 961 7720 TRUE 8 0.000 10 100 0 707 0 56 3136 10550 FALSE 12 0.000 0 0 1 708 0 42 1764 24106 TRUE 16 0.000 0 0 1 709 0 32 1024 22995 TRUE 12 0.000 4 16 1 710 0 35 1225 6000 TRUE 12 0.000 0 0 1 711 0 30 900 24350 TRUE 12 0.000 3 9 1 712 0 51 2601 7608 FALSE 10 0.000 20 400 0 713 0 47 2209 28200 TRUE 12 0.000 3 9 0 714 0 54 2916 16150 TRUE 12 0.000 1 1 0 715 0 31 961 51200 TRUE 15 0.000 5 25 1 716 0 47 2209 12646 FALSE 10 0.000 7 49 1 717 0 47 2209 19000 TRUE 14 0.000 6 36 1 718 0 40 1600 19000 TRUE 12 0.000 2 4 1 719 0 48 2304 14400 FALSE 8 0.000 0 0 0 720 0 34 1156 7232 TRUE 8 0.000 10 100 1 721 0 38 1444 21943 TRUE 12 0.000 6 36 1 722 0 32 1024 47500 TRUE 12 0.000 4 16 1 723 0 48 2304 28900 TRUE 16 0.000 8 64 1 724 0 41 1681 12400 TRUE 12 0.000 18 324 0 725 0 49 2401 6531 TRUE 5 0.000 7 49 0 726 0 59 3481 22422 FALSE 8 0.000 15 225 1 727 0 58 3364 22200 FALSE 13 0.000 7 49 1 728 0 41 1681 77000 TRUE 12 0.000 8 64 1 729 0 45 2025 88000 TRUE 12 0.000 8 64 1 730 0 30 900 26040 TRUE 14 0.000 3 9 0 731 0 41 1681 63500 TRUE 12 0.000 10 100 1 732 0 30 900 12100 TRUE 12 0.000 9 81 0 733 0 53 2809 17505 TRUE 12 0.000 24 576 1 734 0 31 961 18000 FALSE 12 0.000 12 144 0 735 0 43 1849 28069 TRUE 14 0.000 2 4 1 736 0 31 961 14000 TRUE 12 0.000 6 36 1 737 0 51 2601 8117 FALSE 12 0.000 18 324 1 738 0 43 1849 11895 FALSE 9 0.000 17 289 1 739 0 31 961 45250 TRUE 14 0.000 7 49 1 740 0 48 2304 31106 FALSE 11 0.000 6 36 1 741 0 31 961 4000 TRUE 12 0.000 10 100 1 742 0 44 1936 40500 TRUE 12 0.000 5 25 1 743 0 48 2304 21620 TRUE 11 0.000 7 49 1 744 0 53 2809 23426 TRUE 12 0.000 11 121 1 745 0 42 1764 26000 TRUE 10 0.000 14 196 1 746 0 39 1521 7840 TRUE 12 0.000 5 25 1 747 0 32 1024 6800 TRUE 10 0.000 2 4 0 748 0 36 1296 5330 TRUE 12 0.000 4 16 0 749 0 40 1600 28200 TRUE 13 0.000 5 25 1 750 0 31 961 10000 TRUE 12 0.000 14 196 0 751 0 43 1849 9952 FALSE 12 0.000 4 16 0 752 0 60 3600 24984 FALSE 12 0.000 15 225 1 753 0 39 1521 28363 TRUE 9 0.000 12 144 1 > logLik( greeneMl ) 'log Lik.' -1581 (df=13) > > # LR tests > greeneMl1 <- selection( lfp ~ age + I( age^2 ) + faminc + kids + educ, + wage ~ 1, Mroz87 ) > lrtest( greeneMl, greeneMl1 ) Likelihood ratio test Model 1: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) Model 2: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ 1, data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 13 -1581 2 9 -1603 -4 43.6 7.7e-09 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > greeneMl2 <- selection( lfp ~ age + I( age^2 ) + faminc + kids + educ, + wage ~ educ, Mroz87 ) > lrtest( greeneMl, greeneMl2 ) Likelihood ratio test Model 1: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) Model 2: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ educ, data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 13 -1581 2 10 -1583 -3 3.82 0.28 > greeneMl3 <- selection( lfp ~ faminc + kids + educ, + wage ~ exper + I( exper^2 ) + educ + city, Mroz87 ) > lrtest( greeneMl, greeneMl3 ) Likelihood ratio test Model 1: selection(selection = lfp ~ age + I(age^2) + faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) Model 2: selection(selection = lfp ~ faminc + kids + educ, outcome = wage ~ exper + I(exper^2) + educ + city, data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 13 -1581 2 11 -1590 -2 18.3 0.00011 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > ## Wooldridge( 2003 ): example 17.5, page 590 > ## 2-step estimation > data( "Mroz87" ) > wooldridge <- heckit( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age + + kids5 + kids618, log( wage ) ~ educ + exper + I( exper^2 ), Mroz87 ) > print( wooldridge ) Call: heckit(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ + exper + I(exper^2), data = Mroz87) Coefficients: S:(Intercept) S:nwifeinc S:educ S:exper S:I(exper^2) 0.270077 -0.012024 0.130905 0.123348 -0.001887 S:age S:kids5 S:kids618 O:(Intercept) O:educ -0.052853 -0.868329 0.036005 -0.578103 0.109066 O:exper O:I(exper^2) invMillsRatio sigma rho 0.043887 -0.000859 0.032262 0.663629 0.048614 > print( summary( wooldridge ) ) -------------------------------------------- Tobit 2 model (sample selection model) 2-step Heckman / heckit estimation 753 observations (325 censored and 428 observed) 15 free parameters (df = 739) Probit selection equation: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.27008 0.50859 0.53 0.5956 nwifeinc -0.01202 0.00484 -2.48 0.0132 * educ 0.13090 0.02525 5.18 2.8e-07 *** exper 0.12335 0.01872 6.59 8.3e-11 *** I(exper^2) -0.00189 0.00060 -3.15 0.0017 ** age -0.05285 0.00848 -6.23 7.6e-10 *** kids5 -0.86833 0.11852 -7.33 6.2e-13 *** kids618 0.03601 0.04348 0.83 0.4079 Outcome equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.578103 0.305006 -1.90 0.0584 . educ 0.109066 0.015523 7.03 4.8e-12 *** exper 0.043887 0.016261 2.70 0.0071 ** I(exper^2) -0.000859 0.000439 -1.96 0.0507 . Multiple R-Squared:0.157, Adjusted R-Squared:0.149 Error terms: Estimate Std. Error t value Pr(>|t|) invMillsRatio 0.0323 0.1336 0.24 0.81 sigma 0.6636 NA NA NA rho 0.0486 NA NA NA -------------------------------------------- > print( summary( wooldridge$lm ) ) Call: lm(formula = YO ~ -1 + XO + imrData$IMR1, subset = YS == 1, weights = weightsNoNA) Residuals: Min 1Q Median 3Q Max -3.0805 -0.3069 0.0483 0.3770 2.3735 Coefficients: Estimate Std. Error t value Pr(>|t|) XO(Intercept) -0.578103 0.306723 -1.88 0.0601 . XOeduc 0.109066 0.015610 6.99 1.1e-11 *** XOexper 0.043887 0.016353 2.68 0.0076 ** XOI(exper^2) -0.000859 0.000441 -1.95 0.0523 . imrData$IMR1 0.032262 0.134388 0.24 0.8104 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.667 on 423 degrees of freedom Multiple R-squared: 0.773, Adjusted R-squared: 0.77 F-statistic: 288 on 5 and 423 DF, p-value: <2e-16 > print( summary( wooldridge$probit ) ) -------------------------------------------- Probit binary choice model/Maximum Likelihood estimation Newton-Raphson maximisation, 4 iterations Return code 8: successive function values within relative tolerance limit (reltol) Log-Likelihood: -401 Model: Y == '1' in contrary to '0' 753 observations (325 'negative' and 428 'positive') and 8 free parameters (df = 745) Estimates: Estimate Std. error t value Pr(> t) XS(Intercept) 0.27008 0.50859 0.53 0.5954 XSnwifeinc -0.01202 0.00484 -2.48 0.0130 * XSeduc 0.13090 0.02525 5.18 2.2e-07 *** XSexper 0.12335 0.01872 6.59 4.4e-11 *** XSI(exper^2) -0.00189 0.00060 -3.15 0.0017 ** XSage -0.05285 0.00848 -6.23 4.5e-10 *** XSkids5 -0.86833 0.11852 -7.33 2.4e-13 *** XSkids618 0.03601 0.04348 0.83 0.4076 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Significance test: chi2(7) = 227 (p=2.01e-45) -------------------------------------------- > print( wooldridge$sigma ) [1] 0.664 > print( wooldridge$rho ) [1] 0.0486 > print( coef( wooldridge ) ) S:(Intercept) S:nwifeinc S:educ S:exper S:I(exper^2) 0.270077 -0.012024 0.130905 0.123348 -0.001887 S:age S:kids5 S:kids618 O:(Intercept) O:educ -0.052853 -0.868329 0.036005 -0.578103 0.109066 O:exper O:I(exper^2) invMillsRatio sigma rho 0.043887 -0.000859 0.032262 0.663629 0.048614 > print( coef( wooldridge, part = "outcome" ) ) (Intercept) educ exper I(exper^2) invMillsRatio -0.578103 0.109066 0.043887 -0.000859 0.032262 > print( coef( summary( wooldridge ) ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) 0.270077 0.508593 0.531 5.96e-01 nwifeinc -0.012024 0.004840 -2.484 1.32e-02 educ 0.130905 0.025254 5.183 2.81e-07 exper 0.123348 0.018716 6.590 8.34e-11 I(exper^2) -0.001887 0.000600 -3.145 1.73e-03 age -0.052853 0.008477 -6.235 7.61e-10 kids5 -0.868329 0.118522 -7.326 6.21e-13 kids618 0.036005 0.043477 0.828 4.08e-01 (Intercept) -0.578103 0.305006 -1.895 5.84e-02 educ 0.109066 0.015523 7.026 4.83e-12 exper 0.043887 0.016261 2.699 7.12e-03 I(exper^2) -0.000859 0.000439 -1.957 5.07e-02 invMillsRatio 0.032262 0.133625 0.241 8.09e-01 sigma 0.663629 NA NA NA rho 0.048614 NA NA NA > print( coef( summary( wooldridge ), part = "outcome" ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -0.578103 0.305006 -1.895 5.84e-02 educ 0.109066 0.015523 7.026 4.83e-12 exper 0.043887 0.016261 2.699 7.12e-03 I(exper^2) -0.000859 0.000439 -1.957 5.07e-02 invMillsRatio 0.032262 0.133625 0.241 8.09e-01 > print( vcov( wooldridge ) ) (Intercept) nwifeinc educ exper I(exper^2) age (Intercept) 2.59e-01 2.55e-04 -7.72e-03 -1.59e-03 6.09e-05 -3.33e-03 nwifeinc 2.55e-04 2.34e-05 -4.18e-05 3.91e-06 1.08e-07 -6.31e-06 educ -7.72e-03 -4.18e-05 6.38e-04 -2.03e-05 3.78e-07 2.01e-05 exper -1.59e-03 3.91e-06 -2.03e-05 3.50e-04 -1.03e-05 -5.31e-06 I(exper^2) 6.09e-05 1.08e-07 3.78e-07 -1.03e-05 3.60e-07 -4.97e-07 age -3.33e-03 -6.31e-06 2.01e-05 -5.31e-06 -4.97e-07 7.19e-05 kids5 -1.89e-02 2.48e-05 -4.11e-04 -5.52e-06 -6.13e-07 4.53e-04 kids618 -1.01e-02 -1.02e-05 1.18e-04 6.91e-05 -3.11e-07 1.28e-04 (Intercept) NA NA NA NA NA NA educ NA NA NA NA NA NA exper NA NA NA NA NA NA I(exper^2) NA NA NA NA NA NA invMillsRatio NA NA NA NA NA NA sigma NA NA NA NA NA NA rho NA NA NA NA NA NA kids5 kids618 (Intercept) educ exper I(exper^2) (Intercept) -1.89e-02 -1.01e-02 NA NA NA NA nwifeinc 2.48e-05 -1.02e-05 NA NA NA NA educ -4.11e-04 1.18e-04 NA NA NA NA exper -5.52e-06 6.91e-05 NA NA NA NA I(exper^2) -6.13e-07 -3.11e-07 NA NA NA NA age 4.53e-04 1.28e-04 NA NA NA NA kids5 1.40e-02 6.31e-04 NA NA NA NA kids618 6.31e-04 1.89e-03 NA NA NA NA (Intercept) NA NA 9.30e-02 -3.97e-03 -3.18e-03 6.91e-05 educ NA NA -3.97e-03 2.41e-04 5.15e-05 -9.18e-07 exper NA NA -3.18e-03 5.15e-05 2.64e-04 -6.80e-06 I(exper^2) NA NA 6.91e-05 -9.18e-07 -6.80e-06 1.93e-07 invMillsRatio NA NA -3.10e-02 8.72e-04 1.28e-03 -2.65e-05 sigma NA NA NA NA NA NA rho NA NA NA NA NA NA invMillsRatio sigma rho (Intercept) NA NA NA nwifeinc NA NA NA educ NA NA NA exper NA NA NA I(exper^2) NA NA NA age NA NA NA kids5 NA NA NA kids618 NA NA NA (Intercept) -3.10e-02 NA NA educ 8.72e-04 NA NA exper 1.28e-03 NA NA I(exper^2) -2.65e-05 NA NA invMillsRatio 1.79e-02 NA NA sigma NA NA NA rho NA NA NA > print( vcov( wooldridge, part = "outcome" ) ) (Intercept) educ exper I(exper^2) invMillsRatio (Intercept) 9.30e-02 -3.97e-03 -3.18e-03 6.91e-05 -3.10e-02 educ -3.97e-03 2.41e-04 5.15e-05 -9.18e-07 8.72e-04 exper -3.18e-03 5.15e-05 2.64e-04 -6.80e-06 1.28e-03 I(exper^2) 6.91e-05 -9.18e-07 -6.80e-06 1.93e-07 -2.65e-05 invMillsRatio -3.10e-02 8.72e-04 1.28e-03 -2.65e-05 1.79e-02 > nobs( wooldridge ) [1] 753 > nObs( wooldridge ) [1] 753 > round( fitted( wooldridge, part = "outcome" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 12 13 1.193 0.942 1.212 0.976 1.236 1.254 1.550 1.225 1.298 1.278 1.202 1.082 0.773 14 15 16 17 18 19 20 21 22 23 24 25 26 1.188 0.777 0.960 1.272 0.980 1.293 1.066 1.381 1.116 1.363 1.208 0.924 1.822 27 28 29 30 31 32 33 34 35 36 37 38 39 1.281 1.065 1.556 1.018 1.155 1.568 1.327 1.196 1.728 0.662 1.240 1.077 1.515 40 41 42 43 44 45 46 47 48 49 50 51 52 1.657 0.813 1.204 1.419 1.106 0.974 0.909 1.533 1.288 1.230 0.973 1.153 1.270 53 54 55 56 57 58 59 60 61 62 63 64 65 1.201 0.818 1.024 1.497 1.406 1.634 1.442 0.982 1.478 1.099 0.704 1.210 1.144 66 67 68 69 70 71 72 73 74 75 76 77 78 0.714 1.728 1.119 1.073 1.300 1.141 1.181 0.975 0.936 1.161 1.265 0.836 1.838 79 80 81 82 83 84 85 86 87 88 89 90 91 1.416 1.011 0.650 1.504 1.108 1.218 0.967 1.831 1.319 0.942 1.377 1.179 1.224 92 93 94 95 96 97 98 99 100 101 102 103 104 1.152 1.214 0.995 1.161 1.288 1.297 0.944 0.993 0.946 0.840 1.186 1.099 1.569 105 106 107 108 109 110 111 112 113 114 115 116 117 1.073 1.085 1.157 1.299 1.264 0.878 1.573 1.513 1.601 1.619 1.213 1.170 1.290 118 119 120 121 122 123 124 125 126 127 128 129 130 1.076 1.375 0.841 1.380 1.183 0.883 1.602 1.587 1.234 1.349 1.212 1.562 0.582 131 132 133 134 135 136 137 138 139 140 141 142 143 0.774 0.787 1.094 1.151 0.747 0.927 0.985 1.473 0.894 1.292 1.258 1.835 1.507 144 145 146 147 148 149 150 151 152 153 154 155 156 1.299 0.820 0.994 1.127 1.186 1.465 1.668 1.728 1.452 1.018 1.478 1.528 1.594 157 158 159 160 161 162 163 164 165 166 167 168 169 0.923 1.730 1.404 1.118 1.151 1.500 1.475 1.631 1.290 0.657 1.834 1.429 0.986 170 171 172 173 174 175 176 177 178 179 180 181 182 1.116 0.737 1.295 1.091 0.976 1.142 0.336 1.709 1.140 1.061 1.138 1.283 0.966 183 184 185 186 187 188 189 190 191 192 193 194 195 1.191 1.286 0.845 0.949 1.636 1.235 1.008 1.064 1.271 1.013 1.045 0.838 1.019 196 197 198 199 200 201 202 203 204 205 206 207 208 1.015 1.259 1.197 1.297 1.312 1.076 1.454 1.546 1.200 1.290 0.940 1.189 1.218 209 210 211 212 213 214 215 216 217 218 219 220 221 1.210 1.147 1.299 0.996 1.072 0.989 1.301 1.447 0.936 1.092 1.293 0.608 1.289 222 223 224 225 226 227 228 229 230 231 232 233 234 1.081 0.988 1.121 1.671 1.521 1.017 1.390 1.304 0.912 1.120 0.874 1.130 0.941 235 236 237 238 239 240 241 242 243 244 245 246 247 1.259 1.020 0.434 1.282 1.636 1.807 1.240 1.249 1.118 0.981 1.103 0.916 0.513 248 249 250 251 252 253 254 255 256 257 258 259 260 0.957 1.286 1.508 1.045 0.423 1.701 1.014 1.067 1.087 1.104 1.319 0.801 0.949 261 262 263 264 265 266 267 268 269 270 271 272 273 0.906 1.642 1.547 1.511 1.063 0.803 1.106 0.950 1.237 1.320 1.387 0.796 0.639 274 275 276 277 278 279 280 281 282 283 284 285 286 0.819 1.019 1.421 1.094 0.841 1.261 1.512 1.733 1.012 1.212 1.141 1.410 1.380 287 288 289 290 291 292 293 294 295 296 297 298 299 0.699 1.182 1.264 1.256 1.183 1.333 1.449 1.074 0.954 1.300 1.260 1.712 1.297 300 301 302 303 304 305 306 307 308 309 310 311 312 1.743 1.297 1.707 0.805 1.523 0.937 1.017 1.141 0.460 1.028 1.046 0.876 1.795 313 314 315 316 317 318 319 320 321 322 323 324 325 1.261 1.224 1.823 1.234 1.254 0.920 1.159 1.226 1.195 0.888 0.476 1.086 1.139 326 327 328 329 330 331 332 333 334 335 336 337 338 0.998 1.088 0.845 0.976 1.607 1.218 1.829 1.304 0.907 1.142 1.200 1.172 0.984 339 340 341 342 343 344 345 346 347 348 349 350 351 1.270 1.240 1.481 1.285 1.311 1.189 1.616 1.534 1.296 1.314 0.868 1.609 1.296 352 353 354 355 356 357 358 359 360 361 362 363 364 1.380 1.045 1.218 1.641 1.454 1.695 0.836 0.770 1.183 1.075 1.661 1.229 0.985 365 366 367 368 369 370 371 372 373 374 375 376 377 1.288 0.982 1.072 1.622 1.782 1.692 1.381 1.048 1.308 1.227 0.582 0.979 1.028 378 379 380 381 382 383 384 385 386 387 388 389 390 1.469 0.935 0.671 1.438 1.404 1.218 0.986 1.290 1.701 0.696 1.152 1.356 1.298 391 392 393 394 395 396 397 398 399 400 401 402 403 0.560 1.507 1.132 1.559 1.473 1.022 0.550 1.596 1.412 1.584 1.167 0.446 0.995 404 405 406 407 408 409 410 411 412 413 414 415 416 0.887 1.282 1.270 1.264 0.932 1.260 0.707 1.183 1.595 1.162 1.296 1.017 0.931 417 418 419 420 421 422 423 424 425 426 427 428 429 1.413 0.486 1.278 1.001 1.174 1.098 1.743 0.625 1.280 1.395 1.184 1.007 NA 430 431 432 433 434 435 436 437 438 439 440 441 442 NA NA NA NA NA NA NA NA NA NA NA NA NA 443 444 445 446 447 448 449 450 451 452 453 454 455 NA NA NA NA NA NA NA NA NA NA NA NA NA 456 457 458 459 460 461 462 463 464 465 466 467 468 NA NA NA NA NA NA NA NA NA NA NA NA NA 469 470 471 472 473 474 475 476 477 478 479 480 481 NA NA NA NA NA NA NA NA NA NA NA NA NA 482 483 484 485 486 487 488 489 490 491 492 493 494 NA NA NA NA NA NA NA NA NA NA NA NA NA 495 496 497 498 499 500 501 502 503 504 505 506 507 NA NA NA NA NA NA NA NA NA NA NA NA NA 508 509 510 511 512 513 514 515 516 517 518 519 520 NA NA NA NA NA NA NA NA NA NA NA NA NA 521 522 523 524 525 526 527 528 529 530 531 532 533 NA NA NA NA NA NA NA NA NA NA NA NA NA 534 535 536 537 538 539 540 541 542 543 544 545 546 NA NA NA NA NA NA NA NA NA NA NA NA NA 547 548 549 550 551 552 553 554 555 556 557 558 559 NA NA NA NA NA NA NA NA NA NA NA NA NA 560 561 562 563 564 565 566 567 568 569 570 571 572 NA NA NA NA NA NA NA NA NA NA NA NA NA 573 574 575 576 577 578 579 580 581 582 583 584 585 NA NA NA NA NA NA NA NA NA NA NA NA NA 586 587 588 589 590 591 592 593 594 595 596 597 598 NA NA NA NA NA NA NA NA NA NA NA NA NA 599 600 601 602 603 604 605 606 607 608 609 610 611 NA NA NA NA NA NA NA NA NA NA NA NA NA 612 613 614 615 616 617 618 619 620 621 622 623 624 NA NA NA NA NA NA NA NA NA NA NA NA NA 625 626 627 628 629 630 631 632 633 634 635 636 637 NA NA NA NA NA NA NA NA NA NA NA NA NA 638 639 640 641 642 643 644 645 646 647 648 649 650 NA NA NA NA NA NA NA NA NA NA NA NA NA 651 652 653 654 655 656 657 658 659 660 661 662 663 NA NA NA NA NA NA NA NA NA NA NA NA NA 664 665 666 667 668 669 670 671 672 673 674 675 676 NA NA NA NA NA NA NA NA NA NA NA NA NA 677 678 679 680 681 682 683 684 685 686 687 688 689 NA NA NA NA NA NA NA NA NA NA NA NA NA 690 691 692 693 694 695 696 697 698 699 700 701 702 NA NA NA NA NA NA NA NA NA NA NA NA NA 703 704 705 706 707 708 709 710 711 712 713 714 715 NA NA NA NA NA NA NA NA NA NA NA NA NA 716 717 718 719 720 721 722 723 724 725 726 727 728 NA NA NA NA NA NA NA NA NA NA NA NA NA 729 730 731 732 733 734 735 736 737 738 739 740 741 NA NA NA NA NA NA NA NA NA NA NA NA NA 742 743 744 745 746 747 748 749 750 751 752 753 NA NA NA NA NA NA NA NA NA NA NA NA > round( fitted( wooldridge, part = "selection" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 12 13 0.694 0.746 0.696 0.771 0.578 0.812 0.933 0.805 0.851 0.927 0.897 0.741 0.235 14 15 16 17 18 19 20 21 22 23 24 25 26 0.794 0.389 0.763 0.882 0.671 0.871 0.834 0.696 0.901 0.798 0.780 0.395 0.958 27 28 29 30 31 32 33 34 35 36 37 38 39 0.706 0.844 0.718 0.581 0.846 0.569 0.929 0.630 0.968 0.260 0.799 0.846 0.865 40 41 42 43 44 45 46 47 48 49 50 51 52 0.966 0.272 0.468 0.630 0.572 0.807 0.698 0.755 0.880 0.668 0.822 0.628 0.731 53 54 55 56 57 58 59 60 61 62 63 64 65 0.920 0.503 0.772 0.937 0.843 0.932 0.834 0.646 0.922 0.718 0.414 0.739 0.827 66 67 68 69 70 71 72 73 74 75 76 77 78 0.682 0.900 0.838 0.686 0.799 0.877 0.522 0.590 0.211 0.923 0.809 0.596 0.953 79 80 81 82 83 84 85 86 87 88 89 90 91 0.371 0.173 0.527 0.785 0.526 0.315 0.763 0.922 0.765 0.734 0.561 0.556 0.805 92 93 94 95 96 97 98 99 100 101 102 103 104 0.237 0.642 0.383 0.919 0.874 0.861 0.609 0.413 0.569 0.512 0.847 0.231 0.556 105 106 107 108 109 110 111 112 113 114 115 116 117 0.672 0.775 0.801 0.874 0.842 0.553 0.390 0.841 0.847 0.661 0.665 0.744 0.852 118 119 120 121 122 123 124 125 126 127 128 129 130 0.610 0.106 0.379 0.682 0.897 0.445 0.842 0.730 0.919 0.607 0.696 0.685 0.564 131 132 133 134 135 136 137 138 139 140 141 142 143 0.218 0.101 0.824 0.729 0.249 0.347 0.583 0.769 0.276 0.786 0.725 0.950 0.956 144 145 146 147 148 149 150 151 152 153 154 155 156 0.834 0.291 0.401 0.662 0.849 0.658 0.957 0.915 0.719 0.571 0.723 0.614 0.569 157 158 159 160 161 162 163 164 165 166 167 168 169 0.410 0.961 0.908 0.857 0.915 0.867 0.966 0.658 0.832 0.590 0.955 0.715 0.561 170 171 172 173 174 175 176 177 178 179 180 181 182 0.888 0.397 0.730 0.883 0.675 0.861 0.221 0.876 0.895 0.354 0.455 0.852 0.640 183 184 185 186 187 188 189 190 191 192 193 194 195 0.734 0.794 0.414 0.356 0.948 0.682 0.779 0.867 0.688 0.767 0.652 0.838 0.664 196 197 198 199 200 201 202 203 204 205 206 207 208 0.639 0.934 0.600 0.795 0.585 0.627 0.586 0.929 0.539 0.844 0.768 0.771 0.922 209 210 211 212 213 214 215 216 217 218 219 220 221 0.682 0.765 0.839 0.378 0.697 0.412 0.836 0.729 0.220 0.909 0.873 0.129 0.859 222 223 224 225 226 227 228 229 230 231 232 233 234 0.516 0.511 0.804 0.905 0.768 0.586 0.422 0.732 0.636 0.819 0.636 0.613 0.690 235 236 237 238 239 240 241 242 243 244 245 246 247 0.927 0.539 0.110 0.673 0.889 0.887 0.787 0.897 0.865 0.663 0.631 0.551 0.506 248 249 250 251 252 253 254 255 256 257 258 259 260 0.628 0.781 0.718 0.217 0.211 0.829 0.773 0.815 0.624 0.393 0.431 0.463 0.799 261 262 263 264 265 266 267 268 269 270 271 272 273 0.140 0.773 0.890 0.647 0.478 0.632 0.574 0.597 0.563 0.440 0.812 0.629 0.453 274 275 276 277 278 279 280 281 282 283 284 285 286 0.199 0.548 0.886 0.814 0.491 0.901 0.956 0.909 0.688 0.687 0.396 0.817 0.683 287 288 289 290 291 292 293 294 295 296 297 298 299 0.531 0.923 0.832 0.745 0.900 0.920 0.794 0.805 0.869 0.807 0.906 0.827 0.802 300 301 302 303 304 305 306 307 308 309 310 311 312 0.980 0.876 0.911 0.581 0.951 0.627 0.713 0.871 0.237 0.461 0.637 0.812 0.907 313 314 315 316 317 318 319 320 321 322 323 324 325 0.898 0.823 0.938 0.610 0.790 0.470 0.502 0.760 0.655 0.361 0.424 0.735 0.919 326 327 328 329 330 331 332 333 334 335 336 337 338 0.339 0.387 0.419 0.767 0.910 0.919 0.952 0.769 0.716 0.370 0.934 0.706 0.601 339 340 341 342 343 344 345 346 347 348 349 350 351 0.918 0.796 0.670 0.616 0.907 0.783 0.959 0.512 0.886 0.784 0.124 0.876 0.819 352 353 354 355 356 357 358 359 360 361 362 363 364 0.444 0.651 0.920 0.789 0.582 0.937 0.587 0.244 0.891 0.630 0.783 0.728 0.571 365 366 367 368 369 370 371 372 373 374 375 376 377 0.871 0.336 0.706 0.844 0.873 0.758 0.884 0.587 0.902 0.733 0.489 0.706 0.488 378 379 380 381 382 383 384 385 386 387 388 389 390 0.903 0.237 0.610 0.913 0.846 0.925 0.850 0.932 0.816 0.585 0.651 0.930 0.894 391 392 393 394 395 396 397 398 399 400 401 402 403 0.290 0.960 0.561 0.655 0.771 0.612 0.496 0.951 0.669 0.456 0.607 0.049 0.185 404 405 406 407 408 409 410 411 412 413 414 415 416 0.387 0.856 0.920 0.838 0.270 0.915 0.348 0.906 0.559 0.911 0.898 0.518 0.169 417 418 419 420 421 422 423 424 425 426 427 428 429 0.758 0.427 0.937 0.485 0.668 0.243 0.596 0.451 0.894 0.905 0.885 0.808 0.234 430 431 432 433 434 435 436 437 438 439 440 441 442 0.251 0.626 0.311 0.672 0.480 0.645 0.289 0.256 0.509 0.181 0.822 0.104 0.283 443 444 445 446 447 448 449 450 451 452 453 454 455 0.063 0.428 0.450 0.342 0.151 0.328 0.213 0.574 0.704 0.694 0.717 0.402 0.509 456 457 458 459 460 461 462 463 464 465 466 467 468 0.504 0.632 0.485 0.138 0.413 0.425 0.138 0.274 0.346 0.193 0.510 0.400 0.455 469 470 471 472 473 474 475 476 477 478 479 480 481 0.373 0.079 0.397 0.451 0.131 0.215 0.914 0.171 0.529 0.506 0.364 0.376 0.540 482 483 484 485 486 487 488 489 490 491 492 493 494 0.514 0.068 0.003 0.051 0.235 0.043 0.350 0.163 0.746 0.804 0.801 0.504 0.745 495 496 497 498 499 500 501 502 503 504 505 506 507 0.664 0.284 0.077 0.116 0.592 0.608 0.239 0.885 0.766 0.861 0.219 0.199 0.361 508 509 510 511 512 513 514 515 516 517 518 519 520 0.383 0.278 0.744 0.144 0.226 0.471 0.041 0.312 0.205 0.727 0.811 0.693 0.713 521 522 523 524 525 526 527 528 529 530 531 532 533 0.592 0.152 0.690 0.554 0.677 0.165 0.620 0.160 0.241 0.691 0.002 0.871 0.746 534 535 536 537 538 539 540 541 542 543 544 545 546 0.480 0.559 0.844 0.207 0.470 0.300 0.467 0.508 0.515 0.804 0.539 0.324 0.531 547 548 549 550 551 552 553 554 555 556 557 558 559 0.259 0.225 0.428 0.589 0.222 0.186 0.056 0.197 0.431 0.386 0.686 0.805 0.231 560 561 562 563 564 565 566 567 568 569 570 571 572 0.508 0.689 0.021 0.589 0.336 0.509 0.497 0.178 0.342 0.645 0.710 0.552 0.312 573 574 575 576 577 578 579 580 581 582 583 584 585 0.190 0.481 0.715 0.758 0.284 0.390 0.150 0.051 0.232 0.648 0.742 0.793 0.248 586 587 588 589 590 591 592 593 594 595 596 597 598 0.015 0.232 0.667 0.554 0.382 0.080 0.502 0.044 0.115 0.751 0.015 0.402 0.518 599 600 601 602 603 604 605 606 607 608 609 610 611 0.742 0.256 0.243 0.220 0.353 0.751 0.015 0.553 0.271 0.369 0.509 0.477 0.756 612 613 614 615 616 617 618 619 620 621 622 623 624 0.446 0.299 0.761 0.399 0.684 0.077 0.138 0.910 0.261 0.046 0.683 0.307 0.201 625 626 627 628 629 630 631 632 633 634 635 636 637 0.483 0.353 0.190 0.649 0.065 0.188 0.331 0.202 0.730 0.245 0.476 0.211 0.265 638 639 640 641 642 643 644 645 646 647 648 649 650 0.529 0.323 0.046 0.054 0.126 0.077 0.215 0.362 0.706 0.129 0.270 0.860 0.029 651 652 653 654 655 656 657 658 659 660 661 662 663 0.397 0.393 0.266 0.640 0.240 0.689 0.116 0.196 0.595 0.211 0.167 0.582 0.452 664 665 666 667 668 669 670 671 672 673 674 675 676 0.270 0.550 0.395 0.811 0.241 0.297 0.337 0.633 0.442 0.684 0.483 0.144 0.174 677 678 679 680 681 682 683 684 685 686 687 688 689 0.014 0.422 0.648 0.777 0.390 0.333 0.412 0.595 0.328 0.272 0.425 0.176 0.024 690 691 692 693 694 695 696 697 698 699 700 701 702 0.296 0.542 0.906 0.257 0.668 0.628 0.199 0.794 0.814 0.670 0.349 0.345 0.655 703 704 705 706 707 708 709 710 711 712 713 714 715 0.483 0.823 0.556 0.420 0.106 0.457 0.658 0.200 0.303 0.693 0.301 0.147 0.020 716 717 718 719 720 721 722 723 724 725 726 727 728 0.387 0.568 0.439 0.082 0.767 0.636 0.236 0.649 0.886 0.184 0.259 0.278 0.391 729 730 731 732 733 734 735 736 737 738 739 740 741 0.255 0.392 0.497 0.252 0.770 0.884 0.422 0.450 0.744 0.720 0.458 0.298 0.643 742 743 744 745 746 747 748 749 750 751 752 753 0.357 0.390 0.469 0.696 0.103 0.226 0.659 0.564 0.425 0.465 0.419 0.641 > round( residuals( wooldridge, part = "outcome" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.017 -0.614 0.302 -0.884 0.289 0.302 0.570 0.834 -0.544 0.267 0.200 12 13 14 15 16 17 18 19 20 21 22 0.443 -0.039 -0.370 0.526 -0.662 -0.104 0.663 -0.600 0.956 -0.127 0.157 23 24 25 26 27 28 29 30 31 32 33 -0.184 -0.029 -0.156 -0.490 0.105 0.488 0.426 0.752 -0.725 -0.668 0.440 34 35 36 37 38 39 40 41 42 43 44 0.077 -0.391 0.240 -0.375 0.435 0.211 1.026 0.172 0.162 -0.474 0.407 45 46 47 48 49 50 51 52 53 54 55 -0.281 0.336 -0.832 0.232 -0.409 -0.003 -0.325 -1.176 -1.038 -0.348 -0.395 56 57 58 59 60 61 62 63 64 65 66 -0.099 0.860 0.451 0.084 -0.219 0.004 0.164 0.296 0.623 1.336 0.565 67 68 69 70 71 72 73 74 75 76 77 0.210 -0.048 0.051 0.021 0.604 0.121 0.667 1.171 0.306 0.341 -1.866 78 79 80 81 82 83 84 85 86 87 88 -0.750 -1.416 -0.073 -0.801 -1.504 -0.034 0.048 -0.480 0.289 -0.189 0.052 89 90 91 92 93 94 95 96 97 98 99 0.282 -0.832 0.344 -0.641 -1.100 -1.688 -1.498 -0.260 0.283 -0.389 -0.092 100 101 102 103 104 105 106 107 108 109 110 -0.062 -0.412 -0.127 -0.220 0.086 0.248 -0.756 0.230 -0.126 -0.039 -0.590 111 112 113 114 115 116 117 118 119 120 121 0.657 -0.009 -0.070 -0.244 0.547 -1.863 0.117 0.715 -0.075 0.510 -0.364 122 123 124 125 126 127 128 129 130 131 132 -0.108 0.596 0.088 0.702 -3.056 -2.310 0.079 -0.698 0.958 -0.158 0.862 133 134 135 136 137 138 139 140 141 142 143 0.100 0.993 -0.023 0.015 -0.202 0.359 0.310 0.199 0.634 0.296 -0.026 144 145 146 147 148 149 150 151 152 153 154 -0.405 -0.618 -0.509 -0.029 0.368 -1.343 0.334 -0.232 -0.547 -0.385 -0.092 155 156 157 158 159 160 161 162 163 164 165 0.574 0.365 -0.412 -0.493 0.039 -0.096 -0.515 0.116 -1.252 -0.581 0.125 166 167 168 169 170 171 172 173 174 175 176 -0.082 0.773 0.089 -0.231 -0.021 0.205 0.430 -0.059 -0.501 -0.331 0.373 177 178 179 180 181 182 183 184 185 186 187 0.002 -0.680 0.271 -0.039 0.875 0.472 0.354 0.125 2.373 0.019 0.156 188 189 190 191 192 193 194 195 196 197 198 0.453 -1.417 -0.841 -0.449 0.228 0.382 0.659 -0.460 0.285 0.626 -0.242 199 200 201 202 203 204 205 206 207 208 209 0.285 0.443 0.438 0.798 0.819 -1.095 0.110 0.048 -0.099 -0.063 0.057 210 211 212 213 214 215 216 217 218 219 220 1.739 -0.070 0.208 0.285 -0.151 -0.764 -0.698 1.360 0.015 -0.672 -2.662 221 222 223 224 225 226 227 228 229 230 231 0.603 0.649 -0.519 -0.140 0.399 0.154 0.369 0.409 0.529 0.179 0.323 232 233 234 235 236 237 238 239 240 241 242 0.377 0.473 0.078 0.038 0.666 -0.855 0.280 0.511 0.541 -0.271 0.675 243 244 245 246 247 248 249 250 251 252 253 0.509 -1.020 0.357 1.040 0.413 1.109 0.137 0.594 1.216 0.278 0.330 254 255 256 257 258 259 260 261 262 263 264 0.148 -0.597 0.323 -0.711 -0.028 -0.801 0.008 -0.346 -0.073 0.163 -0.100 265 266 267 268 269 270 271 272 273 274 275 -0.840 -0.292 0.227 -0.089 1.086 0.600 0.589 0.099 -0.458 -0.324 -0.441 276 277 278 279 280 281 282 283 284 285 286 -0.342 0.509 -0.220 0.823 -0.133 -0.621 0.055 -0.094 0.448 -0.020 0.335 287 288 289 290 291 292 293 294 295 296 297 -0.497 -0.194 -0.281 0.977 -0.039 -1.944 0.704 0.226 -0.113 -0.242 -0.108 298 299 300 301 302 303 304 305 306 307 308 -0.418 0.535 0.585 -0.131 0.328 -0.126 0.024 -0.184 -0.170 -0.270 -0.232 309 310 311 312 313 314 315 316 317 318 319 -0.939 0.276 0.320 -0.158 0.631 0.294 0.649 0.088 0.220 0.450 0.045 320 321 322 323 324 325 326 327 328 329 330 -0.027 0.075 -0.418 0.324 0.480 0.620 -0.140 -0.395 -0.203 0.658 0.097 331 332 333 334 335 336 337 338 339 340 341 0.626 0.137 -0.439 0.027 -0.363 -0.245 0.144 0.492 0.221 0.216 -0.970 342 343 344 345 346 347 348 349 350 351 352 -0.105 0.378 -0.398 -0.214 -1.967 0.387 -3.081 2.287 0.651 0.011 -0.582 353 354 355 356 357 358 359 360 361 362 363 -0.486 -1.070 0.304 -0.075 1.370 -1.578 -0.005 -0.564 0.390 0.528 -0.207 364 365 366 367 368 369 370 371 372 373 374 -0.008 -0.372 1.923 -1.271 -0.929 0.952 0.176 0.739 0.467 -0.393 0.272 375 376 377 378 379 380 381 382 383 384 385 0.221 -0.251 -0.511 -0.243 -0.018 0.706 0.391 -0.036 -0.153 0.420 -0.243 386 387 388 389 390 391 392 393 394 395 396 0.247 0.382 -0.498 0.572 0.064 0.133 0.098 -0.948 1.554 0.454 0.248 397 398 399 400 401 402 403 404 405 406 407 0.133 0.085 -0.856 0.045 -0.251 0.896 -0.995 0.236 -0.742 0.121 0.433 408 409 410 411 412 413 414 415 416 417 418 2.287 -0.389 0.460 0.034 -1.020 -0.010 -0.301 -0.490 -2.474 0.499 0.068 419 420 421 422 423 424 425 426 427 428 429 -0.361 0.500 -0.229 0.144 -0.178 0.213 0.389 0.374 0.043 0.400 NA 430 431 432 433 434 435 436 437 438 439 440 NA NA NA NA NA NA NA NA NA NA NA 441 442 443 444 445 446 447 448 449 450 451 NA NA NA NA NA NA NA NA NA NA NA 452 453 454 455 456 457 458 459 460 461 462 NA NA NA NA NA NA NA NA NA NA NA 463 464 465 466 467 468 469 470 471 472 473 NA NA NA NA NA NA NA NA NA NA NA 474 475 476 477 478 479 480 481 482 483 484 NA NA NA NA NA NA NA NA NA NA NA 485 486 487 488 489 490 491 492 493 494 495 NA NA NA NA NA NA NA NA NA NA NA 496 497 498 499 500 501 502 503 504 505 506 NA NA NA NA NA NA NA NA NA NA NA 507 508 509 510 511 512 513 514 515 516 517 NA NA NA NA NA NA NA NA NA NA NA 518 519 520 521 522 523 524 525 526 527 528 NA NA NA NA NA NA NA NA NA NA NA 529 530 531 532 533 534 535 536 537 538 539 NA NA NA NA NA NA NA NA NA NA NA 540 541 542 543 544 545 546 547 548 549 550 NA NA NA NA NA NA NA NA NA NA NA 551 552 553 554 555 556 557 558 559 560 561 NA NA NA NA NA NA NA NA NA NA NA 562 563 564 565 566 567 568 569 570 571 572 NA NA NA NA NA NA NA NA NA NA NA 573 574 575 576 577 578 579 580 581 582 583 NA NA NA NA NA NA NA NA NA NA NA 584 585 586 587 588 589 590 591 592 593 594 NA NA NA NA NA NA NA NA NA NA NA 595 596 597 598 599 600 601 602 603 604 605 NA NA NA NA NA NA NA NA NA NA NA 606 607 608 609 610 611 612 613 614 615 616 NA NA NA NA NA NA NA NA NA NA NA 617 618 619 620 621 622 623 624 625 626 627 NA NA NA NA NA NA NA NA NA NA NA 628 629 630 631 632 633 634 635 636 637 638 NA NA NA NA NA NA NA NA NA NA NA 639 640 641 642 643 644 645 646 647 648 649 NA NA NA NA NA NA NA NA NA NA NA 650 651 652 653 654 655 656 657 658 659 660 NA NA NA NA NA NA NA NA NA NA NA 661 662 663 664 665 666 667 668 669 670 671 NA NA NA NA NA NA NA NA NA NA NA 672 673 674 675 676 677 678 679 680 681 682 NA NA NA NA NA NA NA NA NA NA NA 683 684 685 686 687 688 689 690 691 692 693 NA NA NA NA NA NA NA NA NA NA NA 694 695 696 697 698 699 700 701 702 703 704 NA NA NA NA NA NA NA NA NA NA NA 705 706 707 708 709 710 711 712 713 714 715 NA NA NA NA NA NA NA NA NA NA NA 716 717 718 719 720 721 722 723 724 725 726 NA NA NA NA NA NA NA NA NA NA NA 727 728 729 730 731 732 733 734 735 736 737 NA NA NA NA NA NA NA NA NA NA NA 738 739 740 741 742 743 744 745 746 747 748 NA NA NA NA NA NA NA NA NA NA NA 749 750 751 752 753 NA NA NA NA NA > all.equal( residuals( wooldridge ), residuals( wooldridge, part = "outcome" ) ) [1] TRUE > round( residuals( wooldridge, part = "selection" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.855 0.765 0.852 0.721 1.047 0.646 0.372 0.658 0.568 0.389 0.466 12 13 14 15 16 17 18 19 20 21 22 0.774 1.701 0.679 1.374 0.736 0.502 0.894 0.525 0.603 0.851 0.457 23 24 25 26 27 28 29 30 31 32 33 0.672 0.704 1.363 0.294 0.835 0.583 0.813 1.043 0.578 1.062 0.384 34 35 36 37 38 39 40 41 42 43 44 0.961 0.256 1.642 0.670 0.577 0.538 0.262 1.613 1.232 0.962 1.058 45 46 47 48 49 50 51 52 53 54 55 0.656 0.848 0.750 0.505 0.897 0.626 0.965 0.792 0.409 1.173 0.719 56 57 58 59 60 61 62 63 64 65 66 0.360 0.584 0.374 0.603 0.935 0.404 0.814 1.328 0.778 0.616 0.875 67 68 69 70 71 72 73 74 75 76 77 0.458 0.595 0.868 0.670 0.511 1.140 1.028 1.765 0.400 0.651 1.017 78 79 80 81 82 83 84 85 86 87 88 0.310 1.408 1.872 1.132 0.697 1.133 1.520 0.735 0.404 0.732 0.787 89 90 91 92 93 94 95 96 97 98 99 1.075 1.084 0.659 1.698 0.942 1.385 0.412 0.519 0.547 0.997 1.330 100 101 102 103 104 105 106 107 108 109 110 1.062 1.157 0.576 1.711 1.083 0.892 0.714 0.667 0.519 0.587 1.089 111 112 113 114 115 116 117 118 119 120 121 1.373 0.589 0.577 0.910 0.903 0.769 0.565 0.995 2.117 1.392 0.876 122 123 124 125 126 127 128 129 130 131 132 0.466 1.272 0.586 0.793 0.411 0.998 0.852 0.870 1.070 1.746 2.140 133 134 135 136 137 138 139 140 141 142 143 0.623 0.795 1.667 1.456 1.039 0.724 1.605 0.693 0.802 0.320 0.301 144 145 146 147 148 149 150 151 152 153 154 0.602 1.572 1.351 0.908 0.572 0.914 0.296 0.421 0.812 1.059 0.806 155 156 157 158 159 160 161 162 163 164 165 0.987 1.062 1.335 0.283 0.439 0.555 0.422 0.535 0.264 0.915 0.606 166 167 168 169 170 171 172 173 174 175 176 1.027 0.304 0.819 1.074 0.488 1.360 0.793 0.499 0.887 0.546 1.738 177 178 179 180 181 182 183 184 185 186 187 0.516 0.471 1.440 1.255 0.566 0.945 0.787 0.679 1.328 1.438 0.326 188 189 190 191 192 193 194 195 196 197 198 0.874 0.706 0.534 0.865 0.728 0.924 0.595 0.905 0.946 0.371 1.010 199 200 201 202 203 204 205 206 207 208 209 0.678 1.035 0.966 1.034 0.384 1.112 0.583 0.727 0.721 0.404 0.875 210 211 212 213 214 215 216 217 218 219 220 0.733 0.592 1.395 0.850 1.331 0.598 0.795 1.739 0.438 0.522 2.025 221 222 223 224 225 226 227 228 229 230 231 0.551 1.150 1.159 0.661 0.447 0.726 1.035 1.314 0.789 0.951 0.631 232 233 234 235 236 237 238 239 240 241 242 0.951 0.990 0.862 0.390 1.112 2.101 0.889 0.486 0.491 0.691 0.466 243 244 245 246 247 248 249 250 251 252 253 0.538 0.907 0.960 1.091 1.168 0.965 0.703 0.814 1.749 1.765 0.613 254 255 256 257 258 259 260 261 262 263 264 0.718 0.639 0.972 1.367 1.298 1.241 0.670 1.982 0.717 0.483 0.934 265 266 267 268 269 270 271 272 273 274 275 1.215 0.958 1.054 1.015 1.072 1.282 0.645 0.963 1.259 1.798 1.097 276 277 278 279 280 281 282 283 284 285 286 0.493 0.641 1.193 0.456 0.301 0.436 0.865 0.866 1.361 0.637 0.873 287 288 289 290 291 292 293 294 295 296 297 1.125 0.400 0.607 0.767 0.458 0.407 0.680 0.659 0.529 0.655 0.443 298 299 300 301 302 303 304 305 306 307 308 0.616 0.665 0.201 0.515 0.432 1.041 0.317 0.966 0.823 0.526 1.696 309 310 311 312 313 314 315 316 317 318 319 1.245 0.950 0.645 0.441 0.465 0.624 0.357 0.994 0.687 1.229 1.174 320 321 322 323 324 325 326 327 328 329 330 0.741 0.919 1.428 1.310 0.785 0.411 1.470 1.377 1.319 0.729 0.435 331 332 333 334 335 336 337 338 339 340 341 0.411 0.313 0.724 0.817 1.410 0.371 0.834 1.009 0.413 0.675 0.896 342 343 344 345 346 347 348 349 350 351 352 0.984 0.441 0.700 0.290 1.157 0.492 0.698 2.042 0.515 0.632 1.274 353 354 355 356 357 358 359 360 361 362 363 0.926 0.410 0.688 1.041 0.361 1.033 1.679 0.481 0.961 0.700 0.796 364 365 366 367 368 369 370 371 372 373 374 1.059 0.525 1.476 0.834 0.582 0.521 0.744 0.497 1.032 0.455 0.788 375 376 377 378 379 380 381 382 383 384 385 1.196 0.835 1.197 0.452 1.698 0.993 0.427 0.577 0.394 0.570 0.376 386 387 388 389 390 391 392 393 394 395 396 0.638 1.036 0.927 0.380 0.473 1.573 0.286 1.076 0.920 0.721 0.991 397 398 399 400 401 402 403 404 405 406 407 1.185 0.316 0.897 1.252 0.999 2.455 1.837 1.377 0.558 0.409 0.594 408 409 410 411 412 413 414 415 416 417 418 1.617 0.421 1.453 0.445 1.078 0.432 0.465 1.147 1.886 0.745 1.305 419 420 421 422 423 424 425 426 427 428 429 0.362 1.202 0.898 1.683 1.017 1.262 0.473 0.447 0.494 0.653 -0.730 430 431 432 433 434 435 436 437 438 439 440 -0.760 -1.403 -0.864 -1.494 -1.143 -1.440 -0.826 -0.769 -1.192 -0.632 -1.859 441 442 443 444 445 446 447 448 449 450 451 -0.468 -0.816 -0.359 -1.057 -1.093 -0.915 -0.571 -0.891 -0.692 -1.307 -1.560 452 453 454 455 456 457 458 459 460 461 462 -1.539 -1.589 -1.013 -1.193 -1.184 -1.413 -1.152 -0.544 -1.032 -1.051 -0.544 463 464 465 466 467 468 469 470 471 472 473 -0.801 -0.921 -0.655 -1.194 -1.010 -1.101 -0.966 -0.406 -1.006 -1.095 -0.530 474 475 476 477 478 479 480 481 482 483 484 -0.695 -2.216 -0.612 -1.228 -1.187 -0.951 -0.971 -1.247 -1.201 -0.374 -0.075 485 486 487 488 489 490 491 492 493 494 495 -0.323 -0.731 -0.297 -0.928 -0.596 -1.655 -1.804 -1.797 -1.184 -1.653 -1.477 496 497 498 499 500 501 502 503 504 505 506 -0.817 -0.400 -0.496 -1.340 -1.368 -0.740 -2.078 -1.705 -1.986 -0.702 -0.667 507 508 509 510 511 512 513 514 515 516 517 -0.946 -0.983 -0.808 -1.652 -0.558 -0.716 -1.129 -0.288 -0.864 -0.677 -1.612 518 519 520 521 522 523 524 525 526 527 528 -1.825 -1.538 -1.580 -1.338 -0.574 -1.530 -1.270 -1.504 -0.601 -1.392 -0.590 529 530 531 532 533 534 535 536 537 538 539 -0.742 -1.532 -0.070 -2.022 -1.656 -1.143 -1.279 -1.927 -0.680 -1.126 -0.844 540 541 542 543 544 545 546 547 548 549 550 -1.121 -1.190 -1.203 -1.804 -1.245 -0.886 -1.231 -0.775 -0.713 -1.057 -1.333 551 552 553 554 555 556 557 558 559 560 561 -0.708 -0.642 -0.339 -0.662 -1.061 -0.988 -1.522 -1.807 -0.724 -1.191 -1.529 562 563 564 565 566 567 568 569 570 571 572 -0.205 -1.334 -0.905 -1.193 -1.172 -0.626 -0.915 -1.438 -1.573 -1.267 -0.865 573 574 575 576 577 578 579 580 581 582 583 -0.649 -1.145 -1.584 -1.685 -0.817 -0.994 -0.569 -0.324 -0.727 -1.446 -1.647 584 585 586 587 588 589 590 591 592 593 594 -1.774 -0.755 -0.175 -0.727 -1.483 -1.272 -0.980 -0.410 -1.182 -0.299 -0.493 595 596 597 598 599 600 601 602 603 604 605 -1.668 -0.172 -1.014 -1.209 -1.647 -0.769 -0.746 -0.704 -0.934 -1.668 -0.172 606 607 608 609 610 611 612 613 614 615 616 -1.269 -0.796 -0.960 -1.193 -1.138 -1.679 -1.087 -0.843 -1.691 -1.009 -1.519 617 618 619 620 621 622 623 624 625 626 627 -0.399 -0.545 -2.194 -0.779 -0.307 -1.515 -0.856 -0.671 -1.148 -0.934 -0.649 628 629 630 631 632 633 634 635 636 637 638 -1.448 -0.366 -0.646 -0.897 -0.672 -1.618 -0.750 -1.138 -0.689 -0.785 -1.226 639 640 641 642 643 644 645 646 647 648 649 -0.884 -0.308 -0.334 -0.519 -0.400 -0.696 -0.947 -1.565 -0.526 -0.793 -1.982 650 651 652 653 654 655 656 657 658 659 660 -0.244 -1.006 -0.999 -0.786 -1.429 -0.742 -1.529 -0.497 -0.661 -1.345 -0.688 661 662 663 664 665 666 667 668 669 670 671 -0.605 -1.321 -1.097 -0.793 -1.264 -1.003 -1.825 -0.742 -0.839 -0.906 -1.416 672 673 674 675 676 677 678 679 680 681 682 -1.081 -1.517 -1.148 -0.557 -0.619 -0.167 -1.048 -1.444 -1.733 -0.994 -0.900 683 684 685 686 687 688 689 690 691 692 693 -1.031 -1.345 -0.891 -0.797 -1.052 -0.623 -0.223 -0.837 -1.249 -2.175 -0.771 694 695 696 697 698 699 700 701 702 703 704 -1.486 -1.406 -0.667 -1.779 -1.833 -1.489 -0.926 -0.920 -1.458 -1.149 -1.861 705 706 707 708 709 710 711 712 713 714 715 -1.275 -1.044 -0.474 -1.104 -1.466 -0.668 -0.849 -1.537 -0.847 -0.564 -0.201 716 717 718 719 720 721 722 723 724 725 726 -0.990 -1.295 -1.075 -0.413 -1.708 -1.422 -0.734 -1.447 -2.084 -0.637 -0.775 727 728 729 730 731 732 733 734 735 736 737 -0.807 -0.995 -0.768 -0.997 -1.171 -0.761 -1.714 -2.075 -1.047 -1.093 -1.652 738 739 740 741 742 743 744 745 746 747 748 -1.597 -1.107 -0.842 -1.436 -0.940 -0.994 -1.125 -1.542 -0.466 -0.716 -1.467 749 750 751 752 753 -1.288 -1.052 -1.118 -1.042 -1.432 > all.equal( residuals( wooldridge, part = "selection" ), + residuals( wooldridge, part = "selection", type = "deviance" ) ) [1] TRUE > all.equal( residuals( wooldridge$probit ), + residuals( wooldridge, part = "selection" ) ) [1] TRUE > round( residuals( wooldridge, part = "selection", type = "pearson" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.664 0.583 0.662 0.545 0.854 0.482 0.268 0.491 0.418 0.280 0.338 12 13 14 15 16 17 18 19 20 21 22 0.591 1.802 0.509 1.253 0.558 0.367 0.701 0.385 0.447 0.660 0.332 23 24 25 26 27 28 29 30 31 32 33 0.504 0.531 1.237 0.210 0.646 0.430 0.626 0.850 0.426 0.871 0.277 34 35 36 37 38 39 40 41 42 43 44 0.766 0.183 1.689 0.502 0.426 0.394 0.187 1.635 1.065 0.767 0.866 45 46 47 48 49 50 51 52 53 54 55 0.490 0.658 0.570 0.369 0.704 0.465 0.770 0.607 0.295 0.995 0.543 56 57 58 59 60 61 62 63 64 65 66 0.258 0.431 0.269 0.447 0.740 0.292 0.627 1.190 0.594 0.457 0.683 67 68 69 70 71 72 73 74 75 76 77 0.333 0.440 0.677 0.501 0.374 0.957 0.834 1.937 0.289 0.486 0.823 78 79 80 81 82 83 84 85 86 87 88 0.222 1.302 2.184 0.947 0.524 0.948 1.475 0.557 0.292 0.554 0.602 89 90 91 92 93 94 95 96 97 98 99 0.884 0.894 0.493 1.796 0.748 1.269 0.298 0.380 0.401 0.802 1.192 100 101 102 103 104 105 106 107 108 109 110 0.871 0.977 0.425 1.823 0.893 0.699 0.539 0.499 0.380 0.434 0.900 111 112 113 114 115 116 117 118 119 120 121 1.251 0.435 0.426 0.716 0.710 0.587 0.416 0.800 2.898 1.279 0.683 122 123 124 125 126 127 128 129 130 131 132 0.338 1.116 0.433 0.608 0.297 0.804 0.661 0.679 0.879 1.896 2.979 133 134 135 136 137 138 139 140 141 142 143 0.463 0.610 1.735 1.373 0.846 0.548 1.621 0.521 0.615 0.229 0.215 144 145 146 147 148 149 150 151 152 153 154 0.446 1.562 1.221 0.715 0.422 0.720 0.212 0.304 0.625 0.867 0.620 155 156 157 158 159 160 161 162 163 164 165 0.793 0.871 1.199 0.202 0.318 0.408 0.305 0.392 0.188 0.721 0.449 166 167 168 169 170 171 172 173 174 175 176 0.833 0.218 0.631 0.884 0.355 1.233 0.608 0.364 0.695 0.401 1.878 177 178 179 180 181 182 183 184 185 186 187 0.377 0.343 1.350 1.095 0.417 0.751 0.602 0.509 1.190 1.346 0.233 188 189 190 191 192 193 194 195 196 197 198 0.682 0.532 0.391 0.674 0.551 0.730 0.440 0.711 0.751 0.267 0.816 199 200 201 202 203 204 205 206 207 208 209 0.508 0.841 0.771 0.841 0.277 0.925 0.431 0.550 0.545 0.292 0.683 210 211 212 213 214 215 216 217 218 219 220 0.555 0.438 1.282 0.659 1.194 0.442 0.609 1.881 0.317 0.382 2.603 221 222 223 224 225 226 227 228 229 230 231 0.405 0.968 0.978 0.494 0.324 0.549 0.841 1.171 0.605 0.756 0.470 232 233 234 235 236 237 238 239 240 241 242 0.756 0.795 0.671 0.281 0.925 2.846 0.696 0.354 0.358 0.519 0.339 243 244 245 246 247 248 249 250 251 252 253 0.394 0.713 0.765 0.902 0.989 0.770 0.530 0.627 1.902 1.935 0.455 254 255 256 257 258 259 260 261 262 263 264 0.542 0.476 0.777 1.243 1.150 1.077 0.502 2.476 0.542 0.352 0.739 265 266 267 268 269 270 271 272 273 274 275 1.044 0.763 0.862 0.821 0.881 1.129 0.480 0.769 1.100 2.009 0.909 276 277 278 279 280 281 282 283 284 285 286 0.359 0.478 1.019 0.331 0.215 0.316 0.674 0.675 1.235 0.474 0.681 287 288 289 290 291 292 293 294 295 296 297 0.939 0.289 0.450 0.585 0.332 0.294 0.510 0.492 0.388 0.489 0.321 298 299 300 301 302 303 304 305 306 307 308 0.457 0.497 0.143 0.376 0.312 0.849 0.227 0.771 0.634 0.386 1.793 309 310 311 312 313 314 315 316 317 318 319 1.082 0.755 0.481 0.319 0.338 0.464 0.256 0.800 0.516 1.062 0.996 320 321 322 323 324 325 326 327 328 329 330 0.562 0.725 1.331 1.166 0.601 0.297 1.395 1.257 1.177 0.552 0.315 331 332 333 334 335 336 337 338 339 340 341 0.297 0.224 0.547 0.629 1.304 0.267 0.645 0.815 0.298 0.506 0.703 342 343 344 345 346 347 348 349 350 351 352 0.789 0.320 0.527 0.207 0.976 0.358 0.525 2.655 0.377 0.470 1.118 353 354 355 356 357 358 359 360 361 362 363 0.732 0.296 0.517 0.848 0.260 0.840 1.758 0.350 0.766 0.527 0.611 364 365 366 367 368 369 370 371 372 373 374 0.867 0.384 1.404 0.645 0.429 0.381 0.565 0.363 0.839 0.330 0.603 375 376 377 378 379 380 381 382 383 384 385 1.022 0.646 1.023 0.328 1.796 0.799 0.309 0.426 0.284 0.420 0.270 386 387 388 389 390 391 392 393 394 395 396 0.475 0.843 0.733 0.274 0.344 1.565 0.204 0.885 0.726 0.544 0.796 397 398 399 400 401 402 403 404 405 406 407 1.009 0.226 0.704 1.091 0.804 4.402 2.100 1.258 0.410 0.296 0.440 408 409 410 411 412 413 414 415 416 417 418 1.642 0.304 1.369 0.323 0.888 0.312 0.338 0.965 2.217 0.565 1.159 419 420 421 422 423 424 425 426 427 428 429 0.260 1.030 0.705 1.766 0.823 1.103 0.344 0.324 0.360 0.488 -0.552 430 431 432 433 434 435 436 437 438 439 440 -0.579 -1.294 -0.672 -1.432 -0.960 -1.349 -0.637 -0.587 -1.018 -0.470 -2.151 441 442 443 444 445 446 447 448 449 450 451 -0.340 -0.628 -0.258 -0.865 -0.904 -0.721 -0.421 -0.698 -0.520 -1.162 -1.541 452 453 454 455 456 457 458 459 460 461 462 -1.507 -1.592 -0.819 -1.018 -1.007 -1.309 -0.971 -0.399 -0.839 -0.859 -0.399 463 464 465 466 467 468 469 470 471 472 473 -0.615 -0.727 -0.489 -1.020 -0.816 -0.913 -0.771 -0.293 -0.811 -0.906 -0.388 474 475 476 477 478 479 480 481 482 483 484 -0.523 -3.262 -0.454 -1.060 -1.012 -0.756 -0.777 -1.084 -1.028 -0.269 -0.053 485 486 487 488 489 490 491 492 493 494 495 -0.232 -0.554 -0.212 -0.733 -0.441 -1.713 -2.023 -2.006 -1.008 -1.710 -1.406 496 497 498 499 500 501 502 503 504 505 506 -0.630 -0.289 -0.362 -1.206 -1.245 -0.561 -2.767 -1.810 -2.488 -0.529 -0.499 507 508 509 510 511 512 513 514 515 516 517 -0.751 -0.788 -0.621 -1.707 -0.410 -0.540 -0.944 -0.206 -0.673 -0.508 -1.633 518 519 520 521 522 523 524 525 526 527 528 -2.071 -1.504 -1.576 -1.204 -0.423 -1.492 -1.114 -1.448 -0.445 -1.278 -0.436 529 530 531 532 533 534 535 536 537 538 539 -0.563 -1.494 -0.050 -2.594 -1.715 -0.960 -1.125 -2.325 -0.510 -0.941 -0.654 540 541 542 543 544 545 546 547 548 549 550 -0.935 -1.015 -1.031 -2.023 -1.081 -0.693 -1.065 -0.591 -0.538 -0.865 -1.197 551 552 553 554 555 556 557 558 559 560 561 -0.534 -0.479 -0.243 -0.495 -0.870 -0.793 -1.478 -2.030 -0.547 -1.016 -1.490 562 563 564 565 566 567 568 569 570 571 572 -0.145 -1.198 -0.712 -1.019 -0.994 -0.465 -0.721 -1.347 -1.564 -1.110 -0.674 573 574 575 576 577 578 579 580 581 582 583 -0.484 -0.963 -1.584 -1.770 -0.629 -0.799 -0.419 -0.232 -0.550 -1.358 -1.698 584 585 586 587 588 589 590 591 592 593 594 -1.955 -0.574 -0.124 -0.550 -1.415 -1.116 -0.786 -0.296 -1.005 -0.214 -0.360 595 596 597 598 599 600 601 602 603 604 605 -1.738 -0.122 -0.820 -1.037 -1.697 -0.587 -0.566 -0.531 -0.739 -1.738 -0.122 606 607 608 609 610 611 612 613 614 615 616 -1.112 -0.610 -0.765 -1.018 -0.955 -1.759 -0.897 -0.653 -1.783 -0.814 -1.473 617 618 619 620 621 622 623 624 625 626 627 -0.288 -0.401 -3.178 -0.595 -0.220 -1.466 -0.665 -0.502 -0.966 -0.739 -0.484 628 629 630 631 632 633 634 635 636 637 638 -1.360 -0.263 -0.481 -0.704 -0.504 -1.643 -0.570 -0.954 -0.518 -0.601 -1.059 639 640 641 642 643 644 645 646 647 648 649 -0.691 -0.220 -0.239 -0.380 -0.289 -0.523 -0.753 -1.550 -0.385 -0.608 -2.477 650 651 652 653 654 655 656 657 658 659 660 -0.174 -0.811 -0.804 -0.601 -1.333 -0.563 -1.489 -0.362 -0.494 -1.213 -0.517 661 662 663 664 665 666 667 668 669 670 671 -0.448 -1.180 -0.909 -0.608 -1.106 -0.808 -2.070 -0.563 -0.649 -0.712 -1.314 672 673 674 675 676 677 678 679 680 681 682 -0.891 -1.471 -0.966 -0.410 -0.460 -0.119 -0.855 -1.355 -1.867 -0.800 -0.706 683 684 685 686 687 688 689 690 691 692 693 -0.837 -1.212 -0.698 -0.611 -0.860 -0.463 -0.158 -0.648 -1.087 -3.105 -0.588 694 695 696 697 698 699 700 701 702 703 704 -1.420 -1.299 -0.499 -1.965 -2.089 -1.424 -0.732 -0.726 -1.377 -0.967 -2.156 705 706 707 708 709 710 711 712 713 714 715 -1.120 -0.851 -0.345 -0.917 -1.389 -0.500 -0.659 -1.502 -0.656 -0.415 -0.142 716 717 718 719 720 721 722 723 724 725 726 -0.795 -1.146 -0.884 -0.299 -1.816 -1.323 -0.556 -1.359 -2.788 -0.475 -0.592 727 728 729 730 731 732 733 734 735 736 737 -0.620 -0.801 -0.586 -0.802 -0.993 -0.580 -1.829 -2.759 -0.855 -0.904 -1.706 738 739 740 741 742 743 744 745 746 747 748 -1.605 -0.920 -0.652 -1.342 -0.745 -0.799 -0.940 -1.512 -0.339 -0.541 -1.390 749 750 751 752 753 -1.137 -0.860 -0.932 -0.849 -1.338 > all.equal( residuals( wooldridge$probit, type = "pearson" ), + residuals( wooldridge, part = "selection", type = "pearson" ) ) [1] TRUE > round( residuals( wooldridge, part = "selection", type = "response" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.306 0.254 0.304 0.229 0.422 0.188 0.067 0.195 0.149 0.073 0.103 12 13 14 15 16 17 18 19 20 21 22 0.259 0.765 0.206 0.611 0.237 0.118 0.329 0.129 0.166 0.304 0.099 23 24 25 26 27 28 29 30 31 32 33 0.202 0.220 0.605 0.042 0.294 0.156 0.282 0.419 0.154 0.431 0.071 34 35 36 37 38 39 40 41 42 43 44 0.370 0.032 0.740 0.201 0.154 0.135 0.034 0.728 0.532 0.370 0.428 45 46 47 48 49 50 51 52 53 54 55 0.193 0.302 0.245 0.120 0.332 0.178 0.372 0.269 0.080 0.497 0.228 56 57 58 59 60 61 62 63 64 65 66 0.063 0.157 0.068 0.166 0.354 0.078 0.282 0.586 0.261 0.173 0.318 67 68 69 70 71 72 73 74 75 76 77 0.100 0.162 0.314 0.201 0.123 0.478 0.410 0.789 0.077 0.191 0.404 78 79 80 81 82 83 84 85 86 87 88 0.047 0.629 0.827 0.473 0.215 0.474 0.685 0.237 0.078 0.235 0.266 89 90 91 92 93 94 95 96 97 98 99 0.439 0.444 0.195 0.763 0.358 0.617 0.081 0.126 0.139 0.391 0.587 100 101 102 103 104 105 106 107 108 109 110 0.431 0.488 0.153 0.769 0.444 0.328 0.225 0.199 0.126 0.158 0.447 111 112 113 114 115 116 117 118 119 120 121 0.610 0.159 0.153 0.339 0.335 0.256 0.148 0.390 0.894 0.621 0.318 122 123 124 125 126 127 128 129 130 131 132 0.103 0.555 0.158 0.270 0.081 0.393 0.304 0.315 0.436 0.782 0.899 133 134 135 136 137 138 139 140 141 142 143 0.176 0.271 0.751 0.653 0.417 0.231 0.724 0.214 0.275 0.050 0.044 144 145 146 147 148 149 150 151 152 153 154 0.166 0.709 0.599 0.338 0.151 0.342 0.043 0.085 0.281 0.429 0.277 155 156 157 158 159 160 161 162 163 164 165 0.386 0.431 0.590 0.039 0.092 0.143 0.085 0.133 0.034 0.342 0.168 166 167 168 169 170 171 172 173 174 175 176 0.410 0.045 0.285 0.439 0.112 0.603 0.270 0.117 0.325 0.139 0.779 177 178 179 180 181 182 183 184 185 186 187 0.124 0.105 0.646 0.545 0.148 0.360 0.266 0.206 0.586 0.644 0.052 188 189 190 191 192 193 194 195 196 197 198 0.318 0.221 0.133 0.312 0.233 0.348 0.162 0.336 0.361 0.066 0.400 199 200 201 202 203 204 205 206 207 208 209 0.205 0.415 0.373 0.414 0.071 0.461 0.156 0.232 0.229 0.078 0.318 210 211 212 213 214 215 216 217 218 219 220 0.235 0.161 0.622 0.303 0.588 0.164 0.271 0.780 0.091 0.127 0.871 221 222 223 224 225 226 227 228 229 230 231 0.141 0.484 0.489 0.196 0.095 0.232 0.414 0.578 0.268 0.364 0.181 232 233 234 235 236 237 238 239 240 241 242 0.364 0.387 0.310 0.073 0.461 0.890 0.327 0.111 0.113 0.213 0.103 243 244 245 246 247 248 249 250 251 252 253 0.135 0.337 0.369 0.449 0.494 0.372 0.219 0.282 0.783 0.789 0.171 254 255 256 257 258 259 260 261 262 263 264 0.227 0.185 0.376 0.607 0.569 0.537 0.201 0.860 0.227 0.110 0.353 265 266 267 268 269 270 271 272 273 274 275 0.522 0.368 0.426 0.403 0.437 0.560 0.188 0.371 0.547 0.801 0.452 276 277 278 279 280 281 282 283 284 285 286 0.114 0.186 0.509 0.099 0.044 0.091 0.312 0.313 0.604 0.183 0.317 287 288 289 290 291 292 293 294 295 296 297 0.469 0.077 0.168 0.255 0.100 0.080 0.206 0.195 0.131 0.193 0.094 298 299 300 301 302 303 304 305 306 307 308 0.173 0.198 0.020 0.124 0.089 0.419 0.049 0.373 0.287 0.129 0.763 309 310 311 312 313 314 315 316 317 318 319 0.539 0.363 0.188 0.093 0.102 0.177 0.062 0.390 0.210 0.530 0.498 320 321 322 323 324 325 326 327 328 329 330 0.240 0.345 0.639 0.576 0.265 0.081 0.661 0.613 0.581 0.233 0.090 331 332 333 334 335 336 337 338 339 340 341 0.081 0.048 0.231 0.284 0.630 0.066 0.294 0.399 0.082 0.204 0.330 342 343 344 345 346 347 348 349 350 351 352 0.384 0.093 0.217 0.041 0.488 0.114 0.216 0.876 0.124 0.181 0.556 353 354 355 356 357 358 359 360 361 362 363 0.349 0.080 0.211 0.418 0.063 0.413 0.756 0.109 0.370 0.217 0.272 364 365 366 367 368 369 370 371 372 373 374 0.429 0.129 0.664 0.294 0.156 0.127 0.242 0.116 0.413 0.098 0.267 375 376 377 378 379 380 381 382 383 384 385 0.511 0.294 0.512 0.097 0.763 0.390 0.087 0.154 0.075 0.150 0.068 386 387 388 389 390 391 392 393 394 395 396 0.184 0.415 0.349 0.070 0.106 0.710 0.040 0.439 0.345 0.229 0.388 397 398 399 400 401 402 403 404 405 406 407 0.504 0.049 0.331 0.544 0.393 0.951 0.815 0.613 0.144 0.080 0.162 408 409 410 411 412 413 414 415 416 417 418 0.730 0.085 0.652 0.094 0.441 0.089 0.102 0.482 0.831 0.242 0.573 419 420 421 422 423 424 425 426 427 428 429 0.063 0.515 0.332 0.757 0.404 0.549 0.106 0.095 0.115 0.192 -0.234 430 431 432 433 434 435 436 437 438 439 440 -0.251 -0.626 -0.311 -0.672 -0.480 -0.645 -0.289 -0.256 -0.509 -0.181 -0.822 441 442 443 444 445 446 447 448 449 450 451 -0.104 -0.283 -0.063 -0.428 -0.450 -0.342 -0.151 -0.328 -0.213 -0.574 -0.704 452 453 454 455 456 457 458 459 460 461 462 -0.694 -0.717 -0.402 -0.509 -0.504 -0.632 -0.485 -0.138 -0.413 -0.425 -0.138 463 464 465 466 467 468 469 470 471 472 473 -0.274 -0.346 -0.193 -0.510 -0.400 -0.455 -0.373 -0.079 -0.397 -0.451 -0.131 474 475 476 477 478 479 480 481 482 483 484 -0.215 -0.914 -0.171 -0.529 -0.506 -0.364 -0.376 -0.540 -0.514 -0.068 -0.003 485 486 487 488 489 490 491 492 493 494 495 -0.051 -0.235 -0.043 -0.350 -0.163 -0.746 -0.804 -0.801 -0.504 -0.745 -0.664 496 497 498 499 500 501 502 503 504 505 506 -0.284 -0.077 -0.116 -0.592 -0.608 -0.239 -0.885 -0.766 -0.861 -0.219 -0.199 507 508 509 510 511 512 513 514 515 516 517 -0.361 -0.383 -0.278 -0.744 -0.144 -0.226 -0.471 -0.041 -0.312 -0.205 -0.727 518 519 520 521 522 523 524 525 526 527 528 -0.811 -0.693 -0.713 -0.592 -0.152 -0.690 -0.554 -0.677 -0.165 -0.620 -0.160 529 530 531 532 533 534 535 536 537 538 539 -0.241 -0.691 -0.002 -0.871 -0.746 -0.480 -0.559 -0.844 -0.207 -0.470 -0.300 540 541 542 543 544 545 546 547 548 549 550 -0.467 -0.508 -0.515 -0.804 -0.539 -0.324 -0.531 -0.259 -0.225 -0.428 -0.589 551 552 553 554 555 556 557 558 559 560 561 -0.222 -0.186 -0.056 -0.197 -0.431 -0.386 -0.686 -0.805 -0.231 -0.508 -0.689 562 563 564 565 566 567 568 569 570 571 572 -0.021 -0.589 -0.336 -0.509 -0.497 -0.178 -0.342 -0.645 -0.710 -0.552 -0.312 573 574 575 576 577 578 579 580 581 582 583 -0.190 -0.481 -0.715 -0.758 -0.284 -0.390 -0.150 -0.051 -0.232 -0.648 -0.742 584 585 586 587 588 589 590 591 592 593 594 -0.793 -0.248 -0.015 -0.232 -0.667 -0.554 -0.382 -0.080 -0.502 -0.044 -0.115 595 596 597 598 599 600 601 602 603 604 605 -0.751 -0.015 -0.402 -0.518 -0.742 -0.256 -0.243 -0.220 -0.353 -0.751 -0.015 606 607 608 609 610 611 612 613 614 615 616 -0.553 -0.271 -0.369 -0.509 -0.477 -0.756 -0.446 -0.299 -0.761 -0.399 -0.684 617 618 619 620 621 622 623 624 625 626 627 -0.077 -0.138 -0.910 -0.261 -0.046 -0.683 -0.307 -0.201 -0.483 -0.353 -0.190 628 629 630 631 632 633 634 635 636 637 638 -0.649 -0.065 -0.188 -0.331 -0.202 -0.730 -0.245 -0.476 -0.211 -0.265 -0.529 639 640 641 642 643 644 645 646 647 648 649 -0.323 -0.046 -0.054 -0.126 -0.077 -0.215 -0.362 -0.706 -0.129 -0.270 -0.860 650 651 652 653 654 655 656 657 658 659 660 -0.029 -0.397 -0.393 -0.266 -0.640 -0.240 -0.689 -0.116 -0.196 -0.595 -0.211 661 662 663 664 665 666 667 668 669 670 671 -0.167 -0.582 -0.452 -0.270 -0.550 -0.395 -0.811 -0.241 -0.297 -0.337 -0.633 672 673 674 675 676 677 678 679 680 681 682 -0.442 -0.684 -0.483 -0.144 -0.174 -0.014 -0.422 -0.648 -0.777 -0.390 -0.333 683 684 685 686 687 688 689 690 691 692 693 -0.412 -0.595 -0.328 -0.272 -0.425 -0.176 -0.024 -0.296 -0.542 -0.906 -0.257 694 695 696 697 698 699 700 701 702 703 704 -0.668 -0.628 -0.199 -0.794 -0.814 -0.670 -0.349 -0.345 -0.655 -0.483 -0.823 705 706 707 708 709 710 711 712 713 714 715 -0.556 -0.420 -0.106 -0.457 -0.658 -0.200 -0.303 -0.693 -0.301 -0.147 -0.020 716 717 718 719 720 721 722 723 724 725 726 -0.387 -0.568 -0.439 -0.082 -0.767 -0.636 -0.236 -0.649 -0.886 -0.184 -0.259 727 728 729 730 731 732 733 734 735 736 737 -0.278 -0.391 -0.255 -0.392 -0.497 -0.252 -0.770 -0.884 -0.422 -0.450 -0.744 738 739 740 741 742 743 744 745 746 747 748 -0.720 -0.458 -0.298 -0.643 -0.357 -0.390 -0.469 -0.696 -0.103 -0.226 -0.659 749 750 751 752 753 -0.564 -0.425 -0.465 -0.419 -0.641 > all.equal( residuals( wooldridge$probit, type = "response" ), + residuals( wooldridge, part = "selection", type = "response" ) ) [1] TRUE > all.equal( residuals( wooldridge, part = "selection", type = "response" ), + Mroz87$lfp - fitted( wooldridge, part = "selection" ) ) [1] TRUE > print( model.matrix( wooldridge, part = "outcome" ) ) XO(Intercept) XOeduc XOexper XOI(exper^2) imrData$IMR1 1 1 12 14 196 0.5055 2 1 12 5 25 0.4293 3 1 12 15 225 0.5032 4 1 12 6 36 0.3928 5 1 14 7 49 0.6767 6 1 12 33 1089 0.3326 7 1 16 11 121 0.1389 8 1 12 35 1225 0.3418 9 1 12 24 576 0.2725 10 1 12 21 441 0.1494 11 1 12 15 225 0.1994 12 1 11 14 196 0.4369 13 1 12 0 0 1.3068 14 1 12 14 196 0.3583 15 1 10 6 36 0.9853 16 1 11 9 81 0.4052 17 1 12 20 400 0.2248 18 1 12 6 36 0.5397 19 1 12 23 529 0.2414 20 1 12 9 81 0.2994 21 1 16 5 25 0.5020 22 1 12 11 121 0.1936 23 1 13 18 324 0.3533 24 1 12 15 225 0.3792 25 1 12 4 16 0.9747 26 1 17 21 441 0.0942 27 1 12 31 961 0.4886 28 1 12 9 81 0.2837 29 1 17 7 49 0.4699 30 1 12 7 49 0.6731 31 1 11 32 1024 0.2800 32 1 16 11 121 0.6909 33 1 13 16 256 0.1462 34 1 12 14 196 0.5988 35 1 16 27 729 0.0748 36 1 11 0 0 1.2484 37 1 12 17 289 0.3518 38 1 10 28 784 0.2798 39 1 14 24 576 0.2503 40 1 17 11 121 0.0777 41 1 12 1 1 1.2195 42 1 12 14 196 0.8490 43 1 16 6 36 0.5996 44 1 12 10 100 0.6867 45 1 12 6 36 0.3400 46 1 12 4 16 0.4994 47 1 16 10 100 0.4165 48 1 12 22 484 0.2267 49 1 12 16 256 0.5427 50 1 12 6 36 0.3169 51 1 12 12 144 0.6027 52 1 12 32 1024 0.4515 53 1 12 15 225 0.1620 54 1 8 17 289 0.7939 55 1 10 34 1156 0.3907 56 1 16 9 81 0.1314 57 1 14 37 1369 0.2847 58 1 17 10 100 0.1404 59 1 14 35 1225 0.2995 60 1 12 6 36 0.5755 61 1 14 19 361 0.1588 62 1 12 10 100 0.4708 63 1 8 11 121 0.9412 64 1 12 15 225 0.4397 65 1 12 12 144 0.3092 66 1 8 12 144 0.5228 67 1 17 14 196 0.1943 68 1 12 11 121 0.2928 69 1 12 9 81 0.5173 70 1 12 24 576 0.3513 71 1 12 12 144 0.2314 72 1 12 13 169 0.7629 73 1 9 29 841 0.6594 74 1 10 11 121 1.3710 75 1 12 13 169 0.1565 76 1 12 19 361 0.3365 77 1 12 2 4 0.6498 78 1 17 24 576 0.1028 79 1 15 9 81 1.0187 80 1 12 6 36 1.4784 81 1 6 22 484 0.7552 82 1 14 30 900 0.3729 83 1 12 10 100 0.7562 84 1 14 6 36 1.1278 85 1 9 29 841 0.4041 86 1 17 29 841 0.1590 87 1 13 36 1296 0.4019 88 1 9 19 361 0.4473 89 1 15 8 64 0.7023 90 1 12 13 169 0.7109 91 1 12 16 256 0.3429 92 1 12 11 121 1.3034 93 1 12 15 225 0.5823 94 1 12 6 36 0.9960 95 1 12 13 169 0.1641 96 1 12 22 484 0.2371 97 1 12 24 576 0.2569 98 1 13 2 4 0.6312 99 1 12 6 36 0.9429 100 1 13 2 4 0.6909 101 1 12 2 4 0.7790 102 1 12 14 196 0.2791 103 1 12 9 81 1.3169 104 1 16 11 121 0.7101 105 1 12 9 81 0.5376 106 1 13 6 36 0.3870 107 1 11 19 361 0.3492 108 1 12 26 676 0.2370 109 1 12 19 361 0.2871 110 1 12 3 9 0.7156 111 1 17 7 49 0.9842 112 1 14 28 784 0.2883 113 1 16 13 169 0.2796 114 1 17 9 81 0.5535 115 1 12 15 225 0.5477 116 1 11 20 400 0.4328 117 1 12 29 841 0.2705 118 1 12 9 81 0.6297 119 1 17 1 1 1.7255 120 1 10 8 64 1.0031 121 1 13 19 361 0.5236 122 1 11 23 529 0.1995 123 1 12 3 9 0.8876 124 1 16 13 169 0.2861 125 1 17 8 64 0.4529 126 1 12 17 289 0.1630 127 1 16 4 16 0.6328 128 1 12 15 225 0.5029 129 1 16 11 121 0.5190 130 1 8 7 49 0.6982 131 1 12 0 0 1.3521 132 1 12 0 0 1.7489 133 1 12 10 100 0.3143 134 1 13 8 64 0.4546 135 1 11 2 4 1.2726 136 1 12 4 16 1.0649 137 1 12 6 36 0.6695 138 1 14 18 324 0.3956 139 1 12 3 9 1.2117 140 1 12 22 484 0.3701 141 1 12 33 1089 0.4599 142 1 17 28 784 0.1084 143 1 14 23 529 0.0980 144 1 12 27 729 0.2984 145 1 9 11 121 1.1790 146 1 12 6 36 0.9634 147 1 12 11 121 0.5523 148 1 12 14 196 0.2759 149 1 14 17 289 0.5575 150 1 16 17 289 0.0951 151 1 17 14 196 0.1696 152 1 15 11 121 0.4684 153 1 12 7 49 0.6881 154 1 16 8 64 0.4639 155 1 17 6 36 0.6227 156 1 17 8 64 0.6910 157 1 12 4 16 0.9476 158 1 16 25 625 0.0884 159 1 13 24 576 0.1814 160 1 12 11 121 0.2628 161 1 11 19 361 0.1701 162 1 16 9 81 0.2486 163 1 14 19 361 0.0787 164 1 16 14 196 0.5579 165 1 12 22 484 0.3017 166 1 9 6 36 0.6585 167 1 17 23 529 0.0998 168 1 14 15 225 0.4748 169 1 12 6 36 0.7021 170 1 12 11 121 0.2146 171 1 11 2 4 0.9716 172 1 12 22 484 0.4524 173 1 12 10 100 0.2227 174 1 10 14 196 0.5338 175 1 12 12 144 0.2568 176 1 5 9 81 1.3437 177 1 17 13 169 0.2345 178 1 11 18 324 0.2034 179 1 12 8 64 1.0498 180 1 12 11 121 0.8715 181 1 14 9 81 0.2715 182 1 11 9 81 0.5851 183 1 12 14 196 0.4472 184 1 14 9 81 0.3588 185 1 12 2 4 0.9411 186 1 10 12 144 1.0477 187 1 16 15 225 0.1115 188 1 13 11 121 0.5225 189 1 12 7 49 0.3805 190 1 12 9 81 0.2474 191 1 12 19 361 0.5147 192 1 11 11 121 0.3988 193 1 12 8 64 0.5665 194 1 9 13 169 0.2928 195 1 13 4 16 0.5491 196 1 12 7 49 0.5857 197 1 12 19 361 0.1381 198 1 12 14 196 0.6436 199 1 13 14 196 0.3578 200 1 16 3 9 0.6657 201 1 12 9 81 0.6034 202 1 16 7 49 0.6654 203 1 17 7 49 0.1465 204 1 12 14 196 0.7369 205 1 12 29 841 0.2842 206 1 9 19 361 0.3976 207 1 12 14 196 0.3927 208 1 12 16 256 0.1589 209 1 13 10 100 0.5235 210 1 12 12 144 0.4023 211 1 12 24 576 0.2909 212 1 12 6 36 1.0054 213 1 12 9 81 0.5011 214 1 10 14 196 0.9443 215 1 12 26 676 0.2951 216 1 16 7 49 0.4540 217 1 12 4 16 1.3448 218 1 11 15 225 0.1809 219 1 12 23 529 0.2390 220 1 10 1 1 1.6327 221 1 12 29 841 0.2598 222 1 12 9 81 0.7719 223 1 12 6 36 0.7806 224 1 12 11 121 0.3442 225 1 16 17 289 0.1872 226 1 17 6 36 0.3967 227 1 12 7 49 0.6656 228 1 17 2 4 0.9279 229 1 12 24 576 0.4496 230 1 12 4 16 0.5901 231 1 12 11 121 0.3210 232 1 8 25 625 0.5902 233 1 12 11 121 0.6251 234 1 13 2 4 0.5119 235 1 12 19 361 0.1498 236 1 12 7 49 0.7371 237 1 8 2 4 1.7098 238 1 12 20 400 0.5354 239 1 17 10 100 0.2136 240 1 17 19 361 0.2167 241 1 12 17 289 0.3685 242 1 13 12 144 0.1998 243 1 12 11 121 0.2504 244 1 12 6 36 0.5511 245 1 12 10 100 0.5981 246 1 12 4 16 0.7174 247 1 9 2 4 0.7891 248 1 10 13 169 0.6023 249 1 12 21 441 0.3784 250 1 16 9 81 0.4707 251 1 13 4 16 1.3549 252 1 8 2 4 1.3705 253 1 16 19 361 0.3069 254 1 13 4 16 0.3901 255 1 12 9 81 0.3274 256 1 11 14 196 0.6088 257 1 13 6 36 0.9783 258 1 12 24 576 0.9125 259 1 12 1 1 0.8576 260 1 10 13 169 0.3518 261 1 12 3 9 1.5889 262 1 17 10 100 0.3896 263 1 15 16 256 0.2116 264 1 16 9 81 0.5749 265 1 10 19 361 0.8329 266 1 11 4 16 0.5965 267 1 12 10 100 0.6832 268 1 12 5 25 0.6481 269 1 14 7 49 0.6997 270 1 16 3 9 0.8972 271 1 14 38 1444 0.3314 272 1 8 16 256 0.6013 273 1 7 13 169 0.8751 274 1 12 1 1 1.4040 275 1 12 7 49 0.7232 276 1 14 15 225 0.2184 277 1 12 10 100 0.3286 278 1 12 2 4 0.8129 279 1 12 19 361 0.1931 280 1 14 25 625 0.0978 281 1 16 25 625 0.1795 282 1 12 7 49 0.5147 283 1 12 15 225 0.5153 284 1 12 11 121 0.9729 285 1 13 25 625 0.3251 286 1 13 19 361 0.5210 287 1 10 4 16 0.7487 288 1 12 14 196 0.1563 289 1 12 19 361 0.3022 290 1 12 18 324 0.4309 291 1 12 14 196 0.1942 292 1 14 11 121 0.1609 293 1 17 4 16 0.3596 294 1 10 29 841 0.3425 295 1 9 21 441 0.2442 296 1 12 24 576 0.3399 297 1 12 19 361 0.1845 298 1 16 31 961 0.3088 299 1 12 28 784 0.3473 300 1 17 15 225 0.0496 301 1 12 27 729 0.2337 302 1 17 13 169 0.1767 303 1 11 4 16 0.6719 304 1 16 10 100 0.1065 305 1 11 8 64 0.6037 306 1 13 4 16 0.4777 307 1 11 18 324 0.2422 308 1 8 3 9 1.3019 309 1 11 11 121 0.8618 310 1 12 8 64 0.5890 311 1 10 10 100 0.3314 312 1 17 33 1089 0.1828 313 1 12 19 361 0.1989 314 1 12 35 1225 0.3153 315 1 17 21 441 0.1296 316 1 14 7 49 0.6289 317 1 12 18 324 0.3651 318 1 12 4 16 0.8462 319 1 12 12 144 0.7951 320 1 12 16 256 0.4089 321 1 12 14 196 0.5618 322 1 12 3 9 1.0377 323 1 9 1 1 0.9241 324 1 10 27 729 0.4460 325 1 12 12 144 0.1635 326 1 12 6 36 1.0787 327 1 12 9 81 0.9885 328 1 12 2 4 0.9320 329 1 12 6 36 0.3994 330 1 17 9 81 0.1791 331 1 12 16 256 0.1636 332 1 17 22 484 0.1042 333 1 12 26 676 0.3953 334 1 10 11 121 0.4729 335 1 12 11 121 1.0200 336 1 12 15 225 0.1381 337 1 12 13 169 0.4873 338 1 12 6 36 0.6425 339 1 12 20 400 0.1645 340 1 12 17 289 0.3557 341 1 16 8 64 0.5412 342 1 13 13 169 0.6196 343 1 13 15 225 0.1831 344 1 12 14 196 0.3758 345 1 16 14 196 0.0921 346 1 17 6 36 0.7784 347 1 12 24 576 0.2175 348 1 14 10 100 0.3737 349 1 12 2 4 1.6497 350 1 17 9 81 0.2339 351 1 12 23 529 0.3214 352 1 14 12 144 0.8890 353 1 12 8 64 0.5683 354 1 12 16 256 0.1624 355 1 17 10 100 0.3659 356 1 16 7 49 0.6711 357 1 16 19 361 0.1325 358 1 12 2 4 0.6641 359 1 9 9 81 1.2844 360 1 12 14 196 0.2097 361 1 12 9 81 0.5992 362 1 16 16 256 0.3754 363 1 14 7 49 0.4553 364 1 12 6 36 0.6877 365 1 12 22 484 0.2410 366 1 11 9 81 1.0846 367 1 12 9 81 0.4873 368 1 16 14 196 0.2830 369 1 17 17 289 0.2384 370 1 17 12 144 0.4120 371 1 14 13 169 0.2213 372 1 12 8 64 0.6632 373 1 14 10 100 0.1922 374 1 12 16 256 0.4482 375 1 10 1 1 0.8152 376 1 12 6 36 0.4886 377 1 13 4 16 0.8165 378 1 16 8 64 0.1901 379 1 12 4 16 1.3037 380 1 7 15 225 0.6283 381 1 16 7 49 0.1738 382 1 14 14 196 0.2797 383 1 12 16 256 0.1528 384 1 10 15 225 0.2746 385 1 12 23 529 0.1411 386 1 16 19 361 0.3259 387 1 10 4 16 0.6667 388 1 12 12 144 0.5688 389 1 14 12 144 0.1439 390 1 12 25 625 0.2044 391 1 6 14 196 1.1803 392 1 15 14 196 0.0897 393 1 12 11 121 0.7034 394 1 17 7 49 0.5624 395 1 14 18 324 0.3924 396 1 13 4 16 0.6261 397 1 6 37 1369 0.8047 398 1 16 13 169 0.1062 399 1 14 14 196 0.5427 400 1 15 17 289 0.8688 401 1 14 5 25 0.6332 402 1 8 2 4 2.0705 403 1 14 0 0 1.4432 404 1 12 3 9 0.9886 405 1 12 21 441 0.2650 406 1 12 20 400 0.1621 407 1 12 19 361 0.2926 408 1 12 4 16 1.2235 409 1 12 19 361 0.1694 410 1 8 11 121 1.0621 411 1 12 14 196 0.1855 412 1 17 8 64 0.7053 413 1 12 13 169 0.1766 414 1 12 24 576 0.1987 415 1 14 1 1 0.7696 416 1 13 1 1 1.4917 417 1 17 3 9 0.4123 418 1 8 4 16 0.9188 419 1 12 21 441 0.1328 420 1 11 10 100 0.8215 421 1 12 13 169 0.5435 422 1 12 9 81 1.2886 423 1 17 14 196 0.6499 424 1 10 2 4 0.8780 425 1 12 21 441 0.2046 426 1 13 22 484 0.1866 427 1 12 14 196 0.2191 428 1 12 7 49 0.3383 429 NA NA NA NA NA 430 NA NA NA NA NA 431 NA NA NA NA NA 432 NA NA NA NA NA 433 NA NA NA NA NA 434 NA NA NA NA NA 435 NA NA NA NA NA 436 NA NA NA NA NA 437 NA NA NA NA NA 438 NA NA NA NA NA 439 NA NA NA NA NA 440 NA NA NA NA NA 441 NA NA NA NA NA 442 NA NA NA NA NA 443 NA NA NA NA NA 444 NA NA NA NA NA 445 NA NA NA NA NA 446 NA NA NA NA NA 447 NA NA NA NA NA 448 NA NA NA NA NA 449 NA NA NA NA NA 450 NA NA NA NA NA 451 NA NA NA NA NA 452 NA NA NA NA NA 453 NA NA NA NA NA 454 NA NA NA NA NA 455 NA NA NA NA NA 456 NA NA NA NA NA 457 NA NA NA NA NA 458 NA NA NA NA NA 459 NA NA NA NA NA 460 NA NA NA NA NA 461 NA NA NA NA NA 462 NA NA NA NA NA 463 NA NA NA NA NA 464 NA NA NA NA NA 465 NA NA NA NA NA 466 NA NA NA NA NA 467 NA NA NA NA NA 468 NA NA NA NA NA 469 NA NA NA NA NA 470 NA NA NA NA NA 471 NA NA NA NA NA 472 NA NA NA NA NA 473 NA NA NA NA NA 474 NA NA NA NA NA 475 NA NA NA NA NA 476 NA NA NA NA NA 477 NA NA NA NA NA 478 NA NA NA NA NA 479 NA NA NA NA NA 480 NA NA NA NA NA 481 NA NA NA NA NA 482 NA NA NA NA NA 483 NA NA NA NA NA 484 NA NA NA NA NA 485 NA NA NA NA NA 486 NA NA NA NA NA 487 NA NA NA NA NA 488 NA NA NA NA NA 489 NA NA NA NA NA 490 NA NA NA NA NA 491 NA NA NA NA NA 492 NA NA NA NA NA 493 NA NA NA NA NA 494 NA NA NA NA NA 495 NA NA NA NA NA 496 NA NA NA NA NA 497 NA NA NA NA NA 498 NA NA NA NA NA 499 NA NA NA NA NA 500 NA NA NA NA NA 501 NA NA NA NA NA 502 NA NA NA NA NA 503 NA NA NA NA NA 504 NA NA NA NA NA 505 NA NA NA NA NA 506 NA NA NA NA NA 507 NA NA NA NA NA 508 NA NA NA NA NA 509 NA NA NA NA NA 510 NA NA NA NA NA 511 NA NA NA NA NA 512 NA NA NA NA NA 513 NA NA NA NA NA 514 NA NA NA NA NA 515 NA NA NA NA NA 516 NA NA NA NA NA 517 NA NA NA NA NA 518 NA NA NA NA NA 519 NA NA NA NA NA 520 NA NA NA NA NA 521 NA NA NA NA NA 522 NA NA NA NA NA 523 NA NA NA NA NA 524 NA NA NA NA NA 525 NA NA NA NA NA 526 NA NA NA NA NA 527 NA NA NA NA NA 528 NA NA NA NA NA 529 NA NA NA NA NA 530 NA NA NA NA NA 531 NA NA NA NA NA 532 NA NA NA NA NA 533 NA NA NA NA NA 534 NA NA NA NA NA 535 NA NA NA NA NA 536 NA NA NA NA NA 537 NA NA NA NA NA 538 NA NA NA NA NA 539 NA NA NA NA NA 540 NA NA NA NA NA 541 NA NA NA NA NA 542 NA NA NA NA NA 543 NA NA NA NA NA 544 NA NA NA NA NA 545 NA NA NA NA NA 546 NA NA NA NA NA 547 NA NA NA NA NA 548 NA NA NA NA NA 549 NA NA NA NA NA 550 NA NA NA NA NA 551 NA NA NA NA NA 552 NA NA NA NA NA 553 NA NA NA NA NA 554 NA NA NA NA NA 555 NA NA NA NA NA 556 NA NA NA NA NA 557 NA NA NA NA NA 558 NA NA NA NA NA 559 NA NA NA NA NA 560 NA NA NA NA NA 561 NA NA NA NA NA 562 NA NA NA NA NA 563 NA NA NA NA NA 564 NA NA NA NA NA 565 NA NA NA NA NA 566 NA NA NA NA NA 567 NA NA NA NA NA 568 NA NA NA NA NA 569 NA NA NA NA NA 570 NA NA NA NA NA 571 NA NA NA NA NA 572 NA NA NA NA NA 573 NA NA NA NA NA 574 NA NA NA NA NA 575 NA NA NA NA NA 576 NA NA NA NA NA 577 NA NA NA NA NA 578 NA NA NA NA NA 579 NA NA NA NA NA 580 NA NA NA NA NA 581 NA NA NA NA NA 582 NA NA NA NA NA 583 NA NA NA NA NA 584 NA NA NA NA NA 585 NA NA NA NA NA 586 NA NA NA NA NA 587 NA NA NA NA NA 588 NA NA NA NA NA 589 NA NA NA NA NA 590 NA NA NA NA NA 591 NA NA NA NA NA 592 NA NA NA NA NA 593 NA NA NA NA NA 594 NA NA NA NA NA 595 NA NA NA NA NA 596 NA NA NA NA NA 597 NA NA NA NA NA 598 NA NA NA NA NA 599 NA NA NA NA NA 600 NA NA NA NA NA 601 NA NA NA NA NA 602 NA NA NA NA NA 603 NA NA NA NA NA 604 NA NA NA NA NA 605 NA NA NA NA NA 606 NA NA NA NA NA 607 NA NA NA NA NA 608 NA NA NA NA NA 609 NA NA NA NA NA 610 NA NA NA NA NA 611 NA NA NA NA NA 612 NA NA NA NA NA 613 NA NA NA NA NA 614 NA NA NA NA NA 615 NA NA NA NA NA 616 NA NA NA NA NA 617 NA NA NA NA NA 618 NA NA NA NA NA 619 NA NA NA NA NA 620 NA NA NA NA NA 621 NA NA NA NA NA 622 NA NA NA NA NA 623 NA NA NA NA NA 624 NA NA NA NA NA 625 NA NA NA NA NA 626 NA NA NA NA NA 627 NA NA NA NA NA 628 NA NA NA NA NA 629 NA NA NA NA NA 630 NA NA NA NA NA 631 NA NA NA NA NA 632 NA NA NA NA NA 633 NA NA NA NA NA 634 NA NA NA NA NA 635 NA NA NA NA NA 636 NA NA NA NA NA 637 NA NA NA NA NA 638 NA NA NA NA NA 639 NA NA NA NA NA 640 NA NA NA NA NA 641 NA NA NA NA NA 642 NA NA NA NA NA 643 NA NA NA NA NA 644 NA NA NA NA NA 645 NA NA NA NA NA 646 NA NA NA NA NA 647 NA NA NA NA NA 648 NA NA NA NA NA 649 NA NA NA NA NA 650 NA NA NA NA NA 651 NA NA NA NA NA 652 NA NA NA NA NA 653 NA NA NA NA NA 654 NA NA NA NA NA 655 NA NA NA NA NA 656 NA NA NA NA NA 657 NA NA NA NA NA 658 NA NA NA NA NA 659 NA NA NA NA NA 660 NA NA NA NA NA 661 NA NA NA NA NA 662 NA NA NA NA NA 663 NA NA NA NA NA 664 NA NA NA NA NA 665 NA NA NA NA NA 666 NA NA NA NA NA 667 NA NA NA NA NA 668 NA NA NA NA NA 669 NA NA NA NA NA 670 NA NA NA NA NA 671 NA NA NA NA NA 672 NA NA NA NA NA 673 NA NA NA NA NA 674 NA NA NA NA NA 675 NA NA NA NA NA 676 NA NA NA NA NA 677 NA NA NA NA NA 678 NA NA NA NA NA 679 NA NA NA NA NA 680 NA NA NA NA NA 681 NA NA NA NA NA 682 NA NA NA NA NA 683 NA NA NA NA NA 684 NA NA NA NA NA 685 NA NA NA NA NA 686 NA NA NA NA NA 687 NA NA NA NA NA 688 NA NA NA NA NA 689 NA NA NA NA NA 690 NA NA NA NA NA 691 NA NA NA NA NA 692 NA NA NA NA NA 693 NA NA NA NA NA 694 NA NA NA NA NA 695 NA NA NA NA NA 696 NA NA NA NA NA 697 NA NA NA NA NA 698 NA NA NA NA NA 699 NA NA NA NA NA 700 NA NA NA NA NA 701 NA NA NA NA NA 702 NA NA NA NA NA 703 NA NA NA NA NA 704 NA NA NA NA NA 705 NA NA NA NA NA 706 NA NA NA NA NA 707 NA NA NA NA NA 708 NA NA NA NA NA 709 NA NA NA NA NA 710 NA NA NA NA NA 711 NA NA NA NA NA 712 NA NA NA NA NA 713 NA NA NA NA NA 714 NA NA NA NA NA 715 NA NA NA NA NA 716 NA NA NA NA NA 717 NA NA NA NA NA 718 NA NA NA NA NA 719 NA NA NA NA NA 720 NA NA NA NA NA 721 NA NA NA NA NA 722 NA NA NA NA NA 723 NA NA NA NA NA 724 NA NA NA NA NA 725 NA NA NA NA NA 726 NA NA NA NA NA 727 NA NA NA NA NA 728 NA NA NA NA NA 729 NA NA NA NA NA 730 NA NA NA NA NA 731 NA NA NA NA NA 732 NA NA NA NA NA 733 NA NA NA NA NA 734 NA NA NA NA NA 735 NA NA NA NA NA 736 NA NA NA NA NA 737 NA NA NA NA NA 738 NA NA NA NA NA 739 NA NA NA NA NA 740 NA NA NA NA NA 741 NA NA NA NA NA 742 NA NA NA NA NA 743 NA NA NA NA NA 744 NA NA NA NA NA 745 NA NA NA NA NA 746 NA NA NA NA NA 747 NA NA NA NA NA 748 NA NA NA NA NA 749 NA NA NA NA NA 750 NA NA NA NA NA 751 NA NA NA NA NA 752 NA NA NA NA NA 753 NA NA NA NA NA attr(,"assign") [1] 1 1 1 1 2 > print( model.matrix( wooldridge, part = "selection" ) ) XS(Intercept) XSnwifeinc XSeduc XSexper XSI(exper^2) XSage XSkids5 1 1 10.9101 12 14 196 32 1 2 1 19.5000 12 5 25 30 0 3 1 12.0399 12 15 225 35 1 4 1 6.8000 12 6 36 34 0 5 1 20.1001 14 7 49 31 1 6 1 9.8591 12 33 1089 54 0 7 1 9.1520 16 11 121 37 0 8 1 10.9000 12 35 1225 54 0 9 1 17.3050 12 24 576 48 0 10 1 12.9250 12 21 441 39 0 11 1 24.3000 12 15 225 33 0 12 1 19.7001 11 14 196 42 0 13 1 15.0000 12 0 0 30 1 14 1 14.6000 12 14 196 43 0 15 1 24.6309 10 6 36 43 0 16 1 17.5310 11 9 81 35 0 17 1 14.1000 12 20 400 43 0 18 1 15.8390 12 6 36 39 0 19 1 14.1000 12 23 529 45 0 20 1 10.3000 12 9 81 35 0 21 1 22.6550 16 5 25 42 0 22 1 8.0900 12 11 121 30 0 23 1 17.4790 13 18 324 48 0 24 1 9.5600 12 15 225 45 0 25 1 8.2750 12 4 16 31 1 26 1 27.3500 17 21 441 43 0 27 1 16.0000 12 31 961 59 0 28 1 17.0000 12 9 81 32 0 29 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144 41 0 66 1 12.4200 8 12 144 36 0 67 1 17.4000 17 14 196 46 0 68 1 15.5000 12 11 121 34 0 69 1 21.2170 12 9 81 41 0 70 1 18.0000 12 24 576 51 0 71 1 11.8999 12 12 144 33 0 72 1 26.7520 12 13 169 52 0 73 1 12.1500 9 29 841 58 0 74 1 10.2000 10 11 121 34 2 75 1 8.1200 12 13 169 31 0 76 1 10.6600 12 19 361 48 0 77 1 18.1000 12 2 4 32 0 78 1 8.6000 17 24 576 49 0 79 1 13.6650 15 9 81 32 2 80 1 32.3500 12 6 36 58 0 81 1 12.0850 6 22 484 50 0 82 1 12.1500 14 30 900 60 0 83 1 17.6950 12 10 100 50 0 84 1 24.7000 14 6 36 56 0 85 1 2.1340 9 29 841 51 0 86 1 20.9500 17 29 841 54 0 87 1 10.5001 13 36 1296 59 0 88 1 10.5500 9 19 361 46 0 89 1 45.7500 15 8 64 46 0 90 1 13.6320 12 13 169 39 1 91 1 18.2389 12 16 256 44 0 92 1 17.0900 12 11 121 33 2 93 1 30.2349 12 15 225 33 1 94 1 28.7000 12 6 36 48 0 95 1 19.6300 12 13 169 31 0 96 1 12.8249 12 22 484 45 0 97 1 23.8000 12 24 576 45 0 98 1 26.3000 13 2 4 32 0 99 1 20.6999 12 6 36 47 0 100 1 26.0000 13 2 4 34 0 101 1 10.8770 12 2 4 37 0 102 1 25.6121 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0 1 22.0000 10 3 9 48 0 1 NA 633 0 1 23.6750 16 12 144 52 0 2 NA 634 0 1 33.6710 12 5 25 51 0 0 NA 635 0 1 12.3670 11 1 1 35 0 3 NA 636 0 1 21.9500 12 0 0 45 0 0 NA 637 0 1 32.0000 12 7 49 54 0 0 NA 638 0 1 22.6100 12 13 169 54 0 2 NA 639 0 1 12.0920 12 3 9 31 1 0 NA 640 0 1 3.7770 6 0 0 53 0 3 NA 641 0 1 36.0000 14 2 4 35 2 2 NA 642 0 1 26.9000 12 0 0 36 1 3 NA 643 0 1 32.2420 12 2 4 59 0 0 NA 644 0 1 35.0200 16 1 1 54 0 0 NA 645 0 1 37.6000 12 10 100 37 1 1 NA 646 0 1 1.5000 12 10 100 44 0 0 NA 647 0 1 96.0000 17 1 1 34 1 2 NA 648 0 1 18.1500 12 3 9 49 0 0 NA 649 0 1 15.5000 12 32 1024 49 0 0 NA 650 0 1 14.0000 9 0 0 60 0 0 NA 651 0 1 14.7560 12 7 49 51 0 0 NA 652 0 1 22.0000 12 5 25 30 1 1 NA 653 0 1 24.4660 12 2 4 47 0 2 NA 654 0 1 24.4000 12 5 25 36 0 4 NA 655 0 1 24.0000 12 3 9 35 1 3 NA 656 0 1 15.5000 12 25 625 58 0 0 NA 657 0 1 30.8000 14 0 0 41 1 3 NA 658 0 1 10.6600 10 3 9 51 0 1 NA 659 0 1 13.3500 12 10 100 47 0 0 NA 660 0 1 10.0900 9 10 100 45 1 2 NA 661 0 1 55.6000 14 7 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16.5100 12 15 225 41 1 2 NA 692 0 1 13.0000 16 33 1089 55 0 0 NA 693 0 1 10.0000 9 2 4 42 0 0 NA 694 0 1 22.0000 15 1 1 32 0 1 NA 695 0 1 29.8000 12 10 100 43 0 2 NA 696 0 1 15.0000 12 0 0 33 1 3 NA 697 0 1 22.3000 15 14 196 48 0 1 NA 698 0 1 14.5500 12 15 225 43 0 2 NA 699 0 1 19.7300 17 15 225 47 1 3 NA 700 0 1 35.0000 12 10 100 54 0 0 NA 701 0 1 21.0140 12 6 36 51 0 1 NA 702 0 1 10.8760 10 18 324 51 0 1 NA 703 0 1 27.8500 13 15 225 43 1 1 NA 704 0 1 9.5600 12 30 900 53 0 0 NA 705 0 1 30.3000 11 15 225 34 1 1 NA 706 0 1 7.7200 8 10 100 31 1 1 NA 707 0 1 10.5500 12 0 0 56 0 0 NA 708 0 1 24.1060 16 0 0 42 0 1 NA 709 0 1 22.9950 12 4 16 32 0 2 NA 710 0 1 6.0000 12 0 0 35 1 3 NA 711 0 1 24.3500 12 3 9 30 1 1 NA 712 0 1 7.6080 10 20 400 51 0 0 NA 713 0 1 28.2000 12 3 9 47 0 3 NA 714 0 1 16.1500 12 1 1 54 0 1 NA 715 0 1 51.2000 15 5 25 31 3 0 NA 716 0 1 12.6460 10 7 49 47 0 0 NA 717 0 1 19.0000 14 6 36 47 0 3 NA 718 0 1 19.0000 12 2 4 40 0 3 NA 719 0 1 14.4000 8 0 0 48 0 0 NA 720 0 1 7.2320 8 10 100 34 0 7 NA 721 0 1 21.9430 12 6 36 38 0 3 NA 722 0 1 47.5000 12 4 16 32 1 3 NA 723 0 1 28.9000 16 8 64 48 0 1 NA 724 0 1 12.4000 12 18 324 41 0 2 NA 725 0 1 6.5310 5 7 49 49 0 2 NA 726 0 1 22.4220 8 15 225 59 0 0 NA 727 0 1 22.2000 13 7 49 58 0 0 NA 728 0 1 77.0000 12 8 64 41 0 3 NA 729 0 1 88.0000 12 8 64 45 0 2 NA 730 0 1 26.0400 14 3 9 30 1 1 NA 731 0 1 63.5000 12 10 100 41 0 1 NA 732 0 1 12.1000 12 9 81 30 2 0 NA 733 0 1 17.5050 12 24 576 53 0 1 NA 734 0 1 18.0000 12 12 144 31 0 0 NA 735 0 1 28.0690 14 2 4 43 0 2 NA 736 0 1 14.0000 12 6 36 31 1 1 NA 737 0 1 8.1170 12 18 324 51 0 0 NA 738 0 1 11.8950 9 17 289 43 0 0 NA 739 0 1 45.2500 14 7 49 31 1 2 NA 740 0 1 31.1060 11 6 36 48 0 0 NA 741 0 1 4.0000 12 10 100 31 1 1 NA 742 0 1 40.5000 12 5 25 44 0 1 NA 743 0 1 21.6200 11 7 49 48 0 1 NA 744 0 1 23.4260 12 11 121 53 0 1 NA 745 0 1 26.0000 10 14 196 42 0 3 NA 746 0 1 7.8400 12 5 25 39 2 6 NA 747 0 1 6.8000 10 2 4 32 1 2 NA 748 0 1 5.3300 12 4 16 36 0 2 NA 749 0 1 28.2000 13 5 25 40 0 2 NA 750 0 1 10.0000 12 14 196 31 2 3 NA 751 0 1 9.9520 12 4 16 43 0 0 NA 752 0 1 24.9840 12 15 225 60 0 0 NA 753 0 1 28.3630 9 12 144 39 0 3 NA invMillsRatio 1 0.5055 2 0.4293 3 0.5032 4 0.3928 5 0.6767 6 0.3326 7 0.1389 8 0.3418 9 0.2725 10 0.1494 11 0.1994 12 0.4369 13 1.3068 14 0.3583 15 0.9853 16 0.4052 17 0.2248 18 0.5397 19 0.2414 20 0.2994 21 0.5020 22 0.1936 23 0.3533 24 0.3792 25 0.9747 26 0.0942 27 0.4886 28 0.2837 29 0.4699 30 0.6731 31 0.2800 32 0.6909 33 0.1462 34 0.5988 35 0.0748 36 1.2484 37 0.3518 38 0.2798 39 0.2503 40 0.0777 41 1.2195 42 0.8490 43 0.5996 44 0.6867 45 0.3400 46 0.4994 47 0.4165 48 0.2267 49 0.5427 50 0.3169 51 0.6027 52 0.4515 53 0.1620 54 0.7939 55 0.3907 56 0.1314 57 0.2847 58 0.1404 59 0.2995 60 0.5755 61 0.1588 62 0.4708 63 0.9412 64 0.4397 65 0.3092 66 0.5228 67 0.1943 68 0.2928 69 0.5173 70 0.3513 71 0.2314 72 0.7629 73 0.6594 74 1.3710 75 0.1565 76 0.3365 77 0.6498 78 0.1028 79 1.0187 80 1.4784 81 0.7552 82 0.3729 83 0.7562 84 1.1278 85 0.4041 86 0.1590 87 0.4019 88 0.4473 89 0.7023 90 0.7109 91 0.3429 92 1.3034 93 0.5823 94 0.9960 95 0.1641 96 0.2371 97 0.2569 98 0.6312 99 0.9429 100 0.6909 101 0.7790 102 0.2791 103 1.3169 104 0.7101 105 0.5376 106 0.3870 107 0.3492 108 0.2370 109 0.2871 110 0.7156 111 0.9842 112 0.2883 113 0.2796 114 0.5535 115 0.5477 116 0.4328 117 0.2705 118 0.6297 119 1.7255 120 1.0031 121 0.5236 122 0.1995 123 0.8876 124 0.2861 125 0.4529 126 0.1630 127 0.6328 128 0.5029 129 0.5190 130 0.6982 131 1.3521 132 1.7489 133 0.3143 134 0.4546 135 1.2726 136 1.0649 137 0.6695 138 0.3956 139 1.2117 140 0.3701 141 0.4599 142 0.1084 143 0.0980 144 0.2984 145 1.1790 146 0.9634 147 0.5523 148 0.2759 149 0.5575 150 0.0951 151 0.1696 152 0.4684 153 0.6881 154 0.4639 155 0.6227 156 0.6910 157 0.9476 158 0.0884 159 0.1814 160 0.2628 161 0.1701 162 0.2486 163 0.0787 164 0.5579 165 0.3017 166 0.6585 167 0.0998 168 0.4748 169 0.7021 170 0.2146 171 0.9716 172 0.4524 173 0.2227 174 0.5338 175 0.2568 176 1.3437 177 0.2345 178 0.2034 179 1.0498 180 0.8715 181 0.2715 182 0.5851 183 0.4472 184 0.3588 185 0.9411 186 1.0477 187 0.1115 188 0.5225 189 0.3805 190 0.2474 191 0.5147 192 0.3988 193 0.5665 194 0.2928 195 0.5491 196 0.5857 197 0.1381 198 0.6436 199 0.3578 200 0.6657 201 0.6034 202 0.6654 203 0.1465 204 0.7369 205 0.2842 206 0.3976 207 0.3927 208 0.1589 209 0.5235 210 0.4023 211 0.2909 212 1.0054 213 0.5011 214 0.9443 215 0.2951 216 0.4540 217 1.3448 218 0.1809 219 0.2390 220 1.6327 221 0.2598 222 0.7719 223 0.7806 224 0.3442 225 0.1872 226 0.3967 227 0.6656 228 0.9279 229 0.4496 230 0.5901 231 0.3210 232 0.5902 233 0.6251 234 0.5119 235 0.1498 236 0.7371 237 1.7098 238 0.5354 239 0.2136 240 0.2167 241 0.3685 242 0.1998 243 0.2504 244 0.5511 245 0.5981 246 0.7174 247 0.7891 248 0.6023 249 0.3784 250 0.4707 251 1.3549 252 1.3705 253 0.3069 254 0.3901 255 0.3274 256 0.6088 257 0.9783 258 0.9125 259 0.8576 260 0.3518 261 1.5889 262 0.3896 263 0.2116 264 0.5749 265 0.8329 266 0.5965 267 0.6832 268 0.6481 269 0.6997 270 0.8972 271 0.3314 272 0.6013 273 0.8751 274 1.4040 275 0.7232 276 0.2184 277 0.3286 278 0.8129 279 0.1931 280 0.0978 281 0.1795 282 0.5147 283 0.5153 284 0.9729 285 0.3251 286 0.5210 287 0.7487 288 0.1563 289 0.3022 290 0.4309 291 0.1942 292 0.1609 293 0.3596 294 0.3425 295 0.2442 296 0.3399 297 0.1845 298 0.3088 299 0.3473 300 0.0496 301 0.2337 302 0.1767 303 0.6719 304 0.1065 305 0.6037 306 0.4777 307 0.2422 308 1.3019 309 0.8618 310 0.5890 311 0.3314 312 0.1828 313 0.1989 314 0.3153 315 0.1296 316 0.6289 317 0.3651 318 0.8462 319 0.7951 320 0.4089 321 0.5618 322 1.0377 323 0.9241 324 0.4460 325 0.1635 326 1.0787 327 0.9885 328 0.9320 329 0.3994 330 0.1791 331 0.1636 332 0.1042 333 0.3953 334 0.4729 335 1.0200 336 0.1381 337 0.4873 338 0.6425 339 0.1645 340 0.3557 341 0.5412 342 0.6196 343 0.1831 344 0.3758 345 0.0921 346 0.7784 347 0.2175 348 0.3737 349 1.6497 350 0.2339 351 0.3214 352 0.8890 353 0.5683 354 0.1624 355 0.3659 356 0.6711 357 0.1325 358 0.6641 359 1.2844 360 0.2097 361 0.5992 362 0.3754 363 0.4553 364 0.6877 365 0.2410 366 1.0846 367 0.4873 368 0.2830 369 0.2384 370 0.4120 371 0.2213 372 0.6632 373 0.1922 374 0.4482 375 0.8152 376 0.4886 377 0.8165 378 0.1901 379 1.3037 380 0.6283 381 0.1738 382 0.2797 383 0.1528 384 0.2746 385 0.1411 386 0.3259 387 0.6667 388 0.5688 389 0.1439 390 0.2044 391 1.1803 392 0.0897 393 0.7034 394 0.5624 395 0.3924 396 0.6261 397 0.8047 398 0.1062 399 0.5427 400 0.8688 401 0.6332 402 2.0705 403 1.4432 404 0.9886 405 0.2650 406 0.1621 407 0.2926 408 1.2235 409 0.1694 410 1.0621 411 0.1855 412 0.7053 413 0.1766 414 0.1987 415 0.7696 416 1.4917 417 0.4123 418 0.9188 419 0.1328 420 0.8215 421 0.5435 422 1.2886 423 0.6499 424 0.8780 425 0.2046 426 0.1866 427 0.2191 428 0.3383 429 NA 430 NA 431 NA 432 NA 433 NA 434 NA 435 NA 436 NA 437 NA 438 NA 439 NA 440 NA 441 NA 442 NA 443 NA 444 NA 445 NA 446 NA 447 NA 448 NA 449 NA 450 NA 451 NA 452 NA 453 NA 454 NA 455 NA 456 NA 457 NA 458 NA 459 NA 460 NA 461 NA 462 NA 463 NA 464 NA 465 NA 466 NA 467 NA 468 NA 469 NA 470 NA 471 NA 472 NA 473 NA 474 NA 475 NA 476 NA 477 NA 478 NA 479 NA 480 NA 481 NA 482 NA 483 NA 484 NA 485 NA 486 NA 487 NA 488 NA 489 NA 490 NA 491 NA 492 NA 493 NA 494 NA 495 NA 496 NA 497 NA 498 NA 499 NA 500 NA 501 NA 502 NA 503 NA 504 NA 505 NA 506 NA 507 NA 508 NA 509 NA 510 NA 511 NA 512 NA 513 NA 514 NA 515 NA 516 NA 517 NA 518 NA 519 NA 520 NA 521 NA 522 NA 523 NA 524 NA 525 NA 526 NA 527 NA 528 NA 529 NA 530 NA 531 NA 532 NA 533 NA 534 NA 535 NA 536 NA 537 NA 538 NA 539 NA 540 NA 541 NA 542 NA 543 NA 544 NA 545 NA 546 NA 547 NA 548 NA 549 NA 550 NA 551 NA 552 NA 553 NA 554 NA 555 NA 556 NA 557 NA 558 NA 559 NA 560 NA 561 NA 562 NA 563 NA 564 NA 565 NA 566 NA 567 NA 568 NA 569 NA 570 NA 571 NA 572 NA 573 NA 574 NA 575 NA 576 NA 577 NA 578 NA 579 NA 580 NA 581 NA 582 NA 583 NA 584 NA 585 NA 586 NA 587 NA 588 NA 589 NA 590 NA 591 NA 592 NA 593 NA 594 NA 595 NA 596 NA 597 NA 598 NA 599 NA 600 NA 601 NA 602 NA 603 NA 604 NA 605 NA 606 NA 607 NA 608 NA 609 NA 610 NA 611 NA 612 NA 613 NA 614 NA 615 NA 616 NA 617 NA 618 NA 619 NA 620 NA 621 NA 622 NA 623 NA 624 NA 625 NA 626 NA 627 NA 628 NA 629 NA 630 NA 631 NA 632 NA 633 NA 634 NA 635 NA 636 NA 637 NA 638 NA 639 NA 640 NA 641 NA 642 NA 643 NA 644 NA 645 NA 646 NA 647 NA 648 NA 649 NA 650 NA 651 NA 652 NA 653 NA 654 NA 655 NA 656 NA 657 NA 658 NA 659 NA 660 NA 661 NA 662 NA 663 NA 664 NA 665 NA 666 NA 667 NA 668 NA 669 NA 670 NA 671 NA 672 NA 673 NA 674 NA 675 NA 676 NA 677 NA 678 NA 679 NA 680 NA 681 NA 682 NA 683 NA 684 NA 685 NA 686 NA 687 NA 688 NA 689 NA 690 NA 691 NA 692 NA 693 NA 694 NA 695 NA 696 NA 697 NA 698 NA 699 NA 700 NA 701 NA 702 NA 703 NA 704 NA 705 NA 706 NA 707 NA 708 NA 709 NA 710 NA 711 NA 712 NA 713 NA 714 NA 715 NA 716 NA 717 NA 718 NA 719 NA 720 NA 721 NA 722 NA 723 NA 724 NA 725 NA 726 NA 727 NA 728 NA 729 NA 730 NA 731 NA 732 NA 733 NA 734 NA 735 NA 736 NA 737 NA 738 NA 739 NA 740 NA 741 NA 742 NA 743 NA 744 NA 745 NA 746 NA 747 NA 748 NA 749 NA 750 NA 751 NA 752 NA 753 NA > try( logLik( wooldridge ) ) Error in logLik.selection(wooldridge) : the logLik() method currently only works for models estimated by maximum likelihood (ML) but it does not work for models estimated by the 2-step method. > > # ML estimation > wooldridgeMl <- selection( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age + + kids5 + kids618, log( wage ) ~ educ + exper + I( exper^2 ), Mroz87 ) > print( wooldridgeMl ) Call: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ + exper + I(exper^2), data = Mroz87) Coefficients: S:(Intercept) S:nwifeinc S:educ S:exper S:I(exper^2) 0.266449 -0.012132 0.131341 0.123282 -0.001886 S:age S:kids5 S:kids618 O:(Intercept) O:educ -0.052829 -0.867399 0.035872 -0.552696 0.108350 O:exper O:I(exper^2) sigma rho 0.042837 -0.000837 0.663398 0.026607 > print( summary( wooldridgeMl ) ) -------------------------------------------- Tobit 2 model (sample selection model) Maximum Likelihood estimation Newton-Raphson maximisation, 3 iterations Return code 1: gradient close to zero (gradtol) Log-Likelihood: -833 753 observations (325 censored and 428 observed) 14 free parameters (df = 739) Probit selection equation: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.26645 0.50896 0.52 0.6008 nwifeinc -0.01213 0.00488 -2.49 0.0131 * educ 0.13134 0.02538 5.17 2.9e-07 *** exper 0.12328 0.01872 6.58 8.7e-11 *** I(exper^2) -0.00189 0.00060 -3.14 0.0017 ** age -0.05283 0.00848 -6.23 7.8e-10 *** kids5 -0.86740 0.11865 -7.31 6.9e-13 *** kids618 0.03587 0.04347 0.83 0.4096 Outcome equation: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.552696 0.260379 -2.12 0.0341 * educ 0.108350 0.014861 7.29 7.9e-13 *** exper 0.042837 0.014879 2.88 0.0041 ** I(exper^2) -0.000837 0.000417 -2.01 0.0452 * Error terms: Estimate Std. Error t value Pr(>|t|) sigma 0.6634 0.0227 29.21 <2e-16 *** rho 0.0266 0.1471 0.18 0.86 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 -------------------------------------------- > print( coef( wooldridgeMl ) ) S:(Intercept) S:nwifeinc S:educ S:exper S:I(exper^2) 0.266449 -0.012132 0.131341 0.123282 -0.001886 S:age S:kids5 S:kids618 O:(Intercept) O:educ -0.052829 -0.867399 0.035872 -0.552696 0.108350 O:exper O:I(exper^2) sigma rho 0.042837 -0.000837 0.663398 0.026607 > print( coef( wooldridgeMl, part = "outcome" ) ) (Intercept) educ exper I(exper^2) -0.552696 0.108350 0.042837 -0.000837 > print( coef( summary( wooldridgeMl ) ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) 0.266449 0.508958 0.524 6.01e-01 nwifeinc -0.012132 0.004877 -2.488 1.31e-02 educ 0.131341 0.025382 5.175 2.95e-07 exper 0.123282 0.018724 6.584 8.68e-11 I(exper^2) -0.001886 0.000600 -3.142 1.75e-03 age -0.052829 0.008479 -6.230 7.81e-10 kids5 -0.867399 0.118651 -7.311 6.93e-13 kids618 0.035872 0.043475 0.825 4.10e-01 (Intercept) -0.552696 0.260379 -2.123 3.41e-02 educ 0.108350 0.014861 7.291 7.93e-13 exper 0.042837 0.014879 2.879 4.10e-03 I(exper^2) -0.000837 0.000417 -2.006 4.52e-02 sigma 0.663398 0.022707 29.215 2.49e-125 rho 0.026607 0.147078 0.181 8.56e-01 > print( coef( summary( wooldridgeMl ), part = "outcome" ) ) Estimate Std. Error t value Pr(>|t|) (Intercept) -0.552696 0.260379 -2.12 3.41e-02 educ 0.108350 0.014861 7.29 7.93e-13 exper 0.042837 0.014879 2.88 4.10e-03 I(exper^2) -0.000837 0.000417 -2.01 4.52e-02 > print( vcov( wooldridgeMl ) ) (Intercept) nwifeinc educ exper I(exper^2) age (Intercept) 2.59e-01 2.69e-04 -7.77e-03 -1.57e-03 6.07e-05 -3.34e-03 nwifeinc 2.69e-04 2.38e-05 -4.33e-05 4.14e-06 1.06e-07 -6.44e-06 educ -7.77e-03 -4.33e-05 6.44e-04 -2.12e-05 3.90e-07 2.04e-05 exper -1.57e-03 4.14e-06 -2.12e-05 3.51e-04 -1.03e-05 -5.45e-06 I(exper^2) 6.07e-05 1.06e-07 3.90e-07 -1.03e-05 3.60e-07 -4.95e-07 age -3.34e-03 -6.44e-06 2.04e-05 -5.45e-06 -4.95e-07 7.19e-05 kids5 -1.90e-02 2.12e-05 -3.98e-04 -8.69e-06 -5.65e-07 4.54e-04 kids618 -1.01e-02 -9.87e-06 1.16e-04 6.88e-05 -3.05e-07 1.28e-04 (Intercept) 4.80e-03 9.98e-05 -4.62e-04 5.15e-05 -3.27e-07 -3.66e-05 educ -1.69e-04 -2.83e-06 1.60e-05 -2.10e-06 2.60e-08 1.06e-06 exper -1.77e-04 -4.12e-06 1.66e-05 3.40e-07 -6.13e-08 1.45e-06 I(exper^2) 3.69e-06 8.50e-08 -3.40e-07 -3.38e-08 2.39e-09 -2.94e-08 sigma -2.62e-05 -6.35e-07 2.58e-06 -4.46e-07 4.73e-09 2.53e-07 rho -3.41e-03 -8.63e-05 3.53e-04 -5.77e-05 6.29e-07 3.05e-05 kids5 kids618 (Intercept) educ exper I(exper^2) (Intercept) -1.90e-02 -1.01e-02 4.80e-03 -1.69e-04 -1.77e-04 3.69e-06 nwifeinc 2.12e-05 -9.87e-06 9.98e-05 -2.83e-06 -4.12e-06 8.50e-08 educ -3.98e-04 1.16e-04 -4.62e-04 1.60e-05 1.66e-05 -3.40e-07 exper -8.69e-06 6.88e-05 5.15e-05 -2.10e-06 3.40e-07 -3.38e-08 I(exper^2) -5.65e-07 -3.05e-07 -3.27e-07 2.60e-08 -6.13e-08 2.39e-09 age 4.54e-04 1.28e-04 -3.66e-05 1.06e-06 1.45e-06 -2.94e-08 kids5 1.41e-02 6.29e-04 -1.06e-03 2.95e-05 4.30e-05 -8.77e-07 kids618 6.29e-04 1.89e-03 1.21e-04 -3.30e-06 -5.40e-06 1.14e-07 (Intercept) -1.06e-03 1.21e-04 6.78e-02 -3.26e-03 -2.14e-03 4.76e-05 educ 2.95e-05 -3.30e-06 -3.26e-03 2.21e-04 2.22e-05 -3.12e-07 exper 4.30e-05 -5.40e-06 -2.14e-03 2.22e-05 2.21e-04 -5.91e-06 I(exper^2) -8.77e-07 1.14e-07 4.76e-05 -3.12e-07 -5.91e-06 1.74e-07 sigma 7.16e-06 -7.53e-07 -2.33e-04 6.52e-06 9.65e-06 -1.99e-07 rho 9.09e-04 -1.01e-04 -2.49e-02 6.99e-04 1.03e-03 -2.13e-05 sigma rho (Intercept) -2.62e-05 -3.41e-03 nwifeinc -6.35e-07 -8.63e-05 educ 2.58e-06 3.53e-04 exper -4.46e-07 -5.77e-05 I(exper^2) 4.73e-09 6.29e-07 age 2.53e-07 3.05e-05 kids5 7.16e-06 9.09e-04 kids618 -7.53e-07 -1.01e-04 (Intercept) -2.33e-04 -2.49e-02 educ 6.52e-06 6.99e-04 exper 9.65e-06 1.03e-03 I(exper^2) -1.99e-07 -2.13e-05 sigma 5.16e-04 1.81e-04 rho 1.81e-04 2.16e-02 > print( vcov( wooldridgeMl, part = "outcome" ) ) (Intercept) educ exper I(exper^2) (Intercept) 6.78e-02 -3.26e-03 -2.14e-03 4.76e-05 educ -3.26e-03 2.21e-04 2.22e-05 -3.12e-07 exper -2.14e-03 2.22e-05 2.21e-04 -5.91e-06 I(exper^2) 4.76e-05 -3.12e-07 -5.91e-06 1.74e-07 > nobs( wooldridgeMl ) [1] 753 > nObs( wooldridgeMl ) [1] 753 > round( fitted( wooldridgeMl, part = "outcome" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 12 13 1.183 0.941 1.202 0.974 1.223 1.249 1.551 1.221 1.293 1.278 1.202 1.075 0.748 14 15 16 17 18 19 20 21 22 23 24 25 26 1.183 0.758 0.957 1.269 0.974 1.290 1.065 1.374 1.117 1.356 1.202 0.905 1.820 27 28 29 30 31 32 33 34 35 36 37 38 39 1.271 1.065 1.548 1.006 1.152 1.551 1.327 1.183 1.727 0.639 1.234 1.074 1.510 40 41 42 43 44 45 46 47 48 49 50 51 52 1.659 0.790 1.183 1.408 1.092 0.974 0.905 1.526 1.285 1.219 0.974 1.141 1.261 53 54 55 56 57 58 59 60 61 62 63 64 65 1.202 0.800 1.019 1.499 1.403 1.634 1.438 0.974 1.476 1.092 0.684 1.202 1.141 66 67 68 69 70 71 72 73 74 75 76 77 78 0.708 1.725 1.117 1.065 1.293 1.141 1.163 0.960 0.901 1.163 1.259 0.830 1.835 79 80 81 82 83 84 85 86 87 88 89 90 91 1.390 0.974 0.635 1.496 1.092 1.191 0.960 1.827 1.313 0.934 1.362 1.163 1.219 92 93 94 95 96 97 98 99 100 101 102 103 104 1.117 1.202 0.974 1.163 1.285 1.293 0.938 0.974 0.938 0.830 1.183 1.065 1.551 105 106 107 108 109 110 111 112 113 114 115 116 117 1.065 1.083 1.151 1.295 1.259 0.868 1.548 1.507 1.596 1.607 1.202 1.161 1.285 118 119 120 121 122 123 124 125 126 127 128 129 130 1.065 1.331 0.820 1.367 1.181 0.868 1.596 1.578 1.234 1.339 1.202 1.551 0.573 131 132 133 134 135 136 137 138 139 140 141 142 143 0.748 0.748 1.092 1.145 0.721 0.905 0.974 1.464 0.868 1.285 1.249 1.832 1.506 144 145 146 147 148 149 150 151 152 153 154 155 156 1.294 0.792 0.974 1.117 1.183 1.450 1.667 1.725 1.442 1.006 1.470 1.516 1.578 157 158 159 160 161 162 163 164 165 166 167 168 169 0.905 1.728 1.402 1.117 1.151 1.499 1.476 1.616 1.285 0.649 1.832 1.418 0.974 170 171 172 173 174 175 176 177 178 179 180 181 182 1.117 0.721 1.285 1.092 0.966 1.141 0.307 1.705 1.139 1.037 1.117 1.282 0.957 183 184 185 186 187 188 189 190 191 192 193 194 195 1.183 1.282 0.830 0.924 1.635 1.226 1.006 1.065 1.259 1.009 1.037 0.838 1.014 196 197 198 199 200 201 202 203 204 205 206 207 208 1.006 1.259 1.183 1.291 1.302 1.065 1.440 1.548 1.183 1.285 0.934 1.183 1.219 209 210 211 212 213 214 215 216 217 218 219 220 221 1.200 1.141 1.293 0.974 1.065 0.966 1.295 1.440 0.905 1.093 1.290 0.573 1.285 222 223 224 225 226 227 228 229 230 231 232 233 234 1.065 0.974 1.117 1.667 1.516 1.006 1.372 1.293 0.905 1.117 0.862 1.117 0.938 235 236 237 238 239 240 241 242 243 244 245 246 247 1.259 1.006 0.396 1.269 1.634 1.801 1.234 1.249 1.117 0.974 1.092 0.905 0.505 248 249 250 251 252 253 254 255 256 257 258 259 260 0.946 1.278 1.499 1.014 0.396 1.692 1.014 1.065 1.075 1.083 1.293 0.790 0.946 261 262 263 264 265 266 267 268 269 270 271 272 273 0.868 1.634 1.544 1.499 1.042 0.797 1.092 0.941 1.223 1.302 1.383 0.785 0.621 274 275 276 277 278 279 280 281 282 283 284 285 286 0.790 1.006 1.418 1.092 0.830 1.259 1.512 1.728 1.006 1.202 1.117 1.403 1.367 287 288 289 290 291 292 293 294 295 296 297 298 299 0.689 1.183 1.259 1.247 1.183 1.334 1.447 1.069 0.953 1.293 1.259 1.704 1.290 300 301 302 303 304 305 306 307 308 309 310 311 312 1.743 1.294 1.705 0.797 1.526 0.928 1.014 1.139 0.435 1.009 1.037 0.875 1.791 313 314 315 316 317 318 319 320 321 322 323 324 325 1.259 1.221 1.820 1.223 1.247 0.905 1.141 1.219 1.183 0.868 0.464 1.077 1.141 326 327 328 329 330 331 332 333 334 335 336 337 338 0.974 1.065 0.830 0.974 1.607 1.219 1.826 1.295 0.901 1.117 1.202 1.163 0.974 339 340 341 342 343 344 345 346 347 348 349 350 351 1.269 1.234 1.470 1.271 1.310 1.183 1.616 1.516 1.293 1.309 0.830 1.607 1.290 352 353 354 355 356 357 358 359 360 361 362 363 364 1.358 1.037 1.219 1.634 1.440 1.692 0.830 0.740 1.183 1.065 1.652 1.223 0.974 365 366 367 368 369 370 371 372 373 374 375 376 377 1.285 0.957 1.065 1.616 1.775 1.683 1.380 1.037 1.309 1.219 0.573 0.974 1.014 378 379 380 381 382 383 384 385 386 387 388 389 390 1.470 0.905 0.660 1.440 1.400 1.219 0.985 1.290 1.692 0.689 1.141 1.358 1.295 391 392 393 394 395 396 397 398 399 400 401 402 403 0.533 1.508 1.117 1.548 1.464 1.014 0.536 1.596 1.400 1.559 1.157 0.396 0.964 404 405 406 407 408 409 410 411 412 413 414 415 416 0.868 1.278 1.269 1.259 0.905 1.259 0.684 1.183 1.578 1.163 1.293 1.006 0.898 417 418 419 420 421 422 423 424 425 426 427 428 429 1.410 0.472 1.278 0.984 1.163 1.065 1.725 0.613 1.278 1.393 1.183 1.006 NA 430 431 432 433 434 435 436 437 438 439 440 441 442 NA NA NA NA NA NA NA NA NA NA NA NA NA 443 444 445 446 447 448 449 450 451 452 453 454 455 NA NA NA NA NA NA NA NA NA NA NA NA NA 456 457 458 459 460 461 462 463 464 465 466 467 468 NA NA NA NA NA NA NA NA NA NA NA NA NA 469 470 471 472 473 474 475 476 477 478 479 480 481 NA NA NA NA NA NA NA NA NA NA NA NA NA 482 483 484 485 486 487 488 489 490 491 492 493 494 NA NA NA NA NA NA NA NA NA NA NA NA NA 495 496 497 498 499 500 501 502 503 504 505 506 507 NA NA NA NA NA NA NA NA NA NA NA NA NA 508 509 510 511 512 513 514 515 516 517 518 519 520 NA NA NA NA NA NA NA NA NA NA NA NA NA 521 522 523 524 525 526 527 528 529 530 531 532 533 NA NA NA NA NA NA NA NA NA NA NA NA NA 534 535 536 537 538 539 540 541 542 543 544 545 546 NA NA NA NA NA NA NA NA NA NA NA NA NA 547 548 549 550 551 552 553 554 555 556 557 558 559 NA NA NA NA NA NA NA NA NA NA NA NA NA 560 561 562 563 564 565 566 567 568 569 570 571 572 NA NA NA NA NA NA NA NA NA NA NA NA NA 573 574 575 576 577 578 579 580 581 582 583 584 585 NA NA NA NA NA NA NA NA NA NA NA NA NA 586 587 588 589 590 591 592 593 594 595 596 597 598 NA NA NA NA NA NA NA NA NA NA NA NA NA 599 600 601 602 603 604 605 606 607 608 609 610 611 NA NA NA NA NA NA NA NA NA NA NA NA NA 612 613 614 615 616 617 618 619 620 621 622 623 624 NA NA NA NA NA NA NA NA NA NA NA NA NA 625 626 627 628 629 630 631 632 633 634 635 636 637 NA NA NA NA NA NA NA NA NA NA NA NA NA 638 639 640 641 642 643 644 645 646 647 648 649 650 NA NA NA NA NA NA NA NA NA NA NA NA NA 651 652 653 654 655 656 657 658 659 660 661 662 663 NA NA NA NA NA NA NA NA NA NA NA NA NA 664 665 666 667 668 669 670 671 672 673 674 675 676 NA NA NA NA NA NA NA NA NA NA NA NA NA 677 678 679 680 681 682 683 684 685 686 687 688 689 NA NA NA NA NA NA NA NA NA NA NA NA NA 690 691 692 693 694 695 696 697 698 699 700 701 702 NA NA NA NA NA NA NA NA NA NA NA NA NA 703 704 705 706 707 708 709 710 711 712 713 714 715 NA NA NA NA NA NA NA NA NA NA NA NA NA 716 717 718 719 720 721 722 723 724 725 726 727 728 NA NA NA NA NA NA NA NA NA NA NA NA NA 729 730 731 732 733 734 735 736 737 738 739 740 741 NA NA NA NA NA NA NA NA NA NA NA NA NA 742 743 744 745 746 747 748 749 750 751 752 753 NA NA NA NA NA NA NA NA NA NA NA NA > round( fitted( wooldridgeMl, part = "selection" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 12 13 0.694 0.746 0.696 0.771 0.579 0.812 0.933 0.806 0.851 0.927 0.897 0.741 0.236 14 15 16 17 18 19 20 21 22 23 24 25 26 0.794 0.389 0.762 0.882 0.670 0.871 0.834 0.697 0.901 0.798 0.781 0.396 0.958 27 28 29 30 31 32 33 34 35 36 37 38 39 0.706 0.844 0.720 0.581 0.846 0.570 0.929 0.630 0.968 0.260 0.799 0.846 0.866 40 41 42 43 44 45 46 47 48 49 50 51 52 0.966 0.273 0.468 0.631 0.571 0.807 0.699 0.755 0.881 0.669 0.822 0.627 0.731 53 54 55 56 57 58 59 60 61 62 63 64 65 0.920 0.502 0.772 0.938 0.844 0.933 0.834 0.646 0.922 0.718 0.414 0.739 0.827 66 67 68 69 70 71 72 73 74 75 76 77 78 0.682 0.901 0.838 0.686 0.799 0.878 0.522 0.589 0.211 0.923 0.809 0.596 0.953 79 80 81 82 83 84 85 86 87 88 89 90 91 0.372 0.173 0.526 0.785 0.527 0.315 0.763 0.922 0.765 0.734 0.561 0.556 0.805 92 93 94 95 96 97 98 99 100 101 102 103 104 0.237 0.641 0.383 0.918 0.874 0.861 0.608 0.413 0.569 0.512 0.847 0.231 0.555 105 106 107 108 109 110 111 112 113 114 115 116 117 0.672 0.775 0.801 0.874 0.842 0.552 0.391 0.841 0.847 0.661 0.664 0.744 0.852 118 119 120 121 122 123 124 125 126 127 128 129 130 0.610 0.106 0.379 0.681 0.897 0.446 0.843 0.731 0.919 0.608 0.696 0.685 0.563 131 132 133 134 135 136 137 138 139 140 141 142 143 0.218 0.101 0.824 0.729 0.249 0.347 0.583 0.770 0.276 0.786 0.725 0.950 0.956 144 145 146 147 148 149 150 151 152 153 154 155 156 0.834 0.290 0.402 0.662 0.849 0.658 0.957 0.915 0.720 0.570 0.724 0.615 0.569 157 158 159 160 161 162 163 164 165 166 167 168 169 0.411 0.961 0.908 0.857 0.915 0.867 0.966 0.659 0.832 0.590 0.955 0.714 0.562 170 171 172 173 174 175 176 177 178 179 180 181 182 0.888 0.397 0.730 0.883 0.674 0.861 0.220 0.876 0.895 0.354 0.454 0.852 0.639 183 184 185 186 187 188 189 190 191 192 193 194 195 0.734 0.794 0.414 0.355 0.949 0.683 0.779 0.867 0.688 0.767 0.652 0.837 0.664 196 197 198 199 200 201 202 203 204 205 206 207 208 0.639 0.934 0.600 0.795 0.586 0.627 0.586 0.929 0.539 0.844 0.767 0.771 0.922 209 210 211 212 213 214 215 216 217 218 219 220 221 0.682 0.764 0.839 0.379 0.697 0.413 0.837 0.730 0.221 0.908 0.873 0.129 0.859 222 223 224 225 226 227 228 229 230 231 232 233 234 0.516 0.511 0.804 0.905 0.769 0.585 0.422 0.732 0.637 0.819 0.636 0.613 0.690 235 236 237 238 239 240 241 242 243 244 245 246 247 0.927 0.538 0.110 0.674 0.889 0.887 0.788 0.897 0.865 0.663 0.631 0.552 0.505 248 249 250 251 252 253 254 255 256 257 258 259 260 0.627 0.781 0.718 0.216 0.211 0.829 0.773 0.815 0.624 0.393 0.431 0.462 0.799 261 262 263 264 265 266 267 268 269 270 271 272 273 0.140 0.774 0.890 0.646 0.478 0.632 0.573 0.597 0.563 0.441 0.813 0.627 0.452 274 275 276 277 278 279 280 281 282 283 284 285 286 0.199 0.547 0.886 0.814 0.490 0.901 0.956 0.910 0.688 0.687 0.395 0.816 0.683 287 288 289 290 291 292 293 294 295 296 297 298 299 0.531 0.923 0.831 0.745 0.900 0.921 0.793 0.805 0.869 0.807 0.906 0.828 0.801 300 301 302 303 304 305 306 307 308 309 310 311 312 0.980 0.876 0.911 0.582 0.951 0.627 0.713 0.870 0.237 0.460 0.637 0.812 0.908 313 314 315 316 317 318 319 320 321 322 323 324 325 0.898 0.823 0.939 0.611 0.790 0.471 0.501 0.760 0.655 0.361 0.424 0.734 0.919 326 327 328 329 330 331 332 333 334 335 336 337 338 0.339 0.386 0.419 0.767 0.910 0.919 0.952 0.770 0.716 0.371 0.934 0.706 0.601 339 340 341 342 343 344 345 346 347 348 349 350 351 0.918 0.796 0.670 0.617 0.907 0.783 0.959 0.512 0.886 0.785 0.124 0.876 0.819 352 353 354 355 356 357 358 359 360 361 362 363 364 0.446 0.651 0.920 0.789 0.583 0.937 0.587 0.244 0.891 0.630 0.783 0.728 0.570 365 366 367 368 369 370 371 372 373 374 375 376 377 0.871 0.337 0.706 0.844 0.873 0.758 0.883 0.587 0.902 0.734 0.489 0.706 0.489 378 379 380 381 382 383 384 385 386 387 388 389 390 0.903 0.236 0.610 0.913 0.847 0.925 0.850 0.932 0.815 0.585 0.651 0.930 0.894 391 392 393 394 395 396 397 398 399 400 401 402 403 0.290 0.960 0.561 0.656 0.772 0.611 0.495 0.952 0.668 0.457 0.607 0.049 0.185 404 405 406 407 408 409 410 411 412 413 414 415 416 0.387 0.856 0.920 0.838 0.271 0.915 0.347 0.906 0.560 0.911 0.898 0.518 0.169 417 418 419 420 421 422 423 424 425 426 427 428 429 0.758 0.426 0.937 0.486 0.668 0.243 0.598 0.451 0.894 0.905 0.885 0.808 0.234 430 431 432 433 434 435 436 437 438 439 440 441 442 0.252 0.626 0.311 0.672 0.479 0.645 0.289 0.257 0.509 0.181 0.822 0.104 0.283 443 444 445 446 447 448 449 450 451 452 453 454 455 0.063 0.428 0.450 0.343 0.151 0.327 0.214 0.576 0.703 0.695 0.717 0.401 0.509 456 457 458 459 460 461 462 463 464 465 466 467 468 0.504 0.631 0.485 0.138 0.413 0.425 0.138 0.275 0.346 0.192 0.512 0.399 0.455 469 470 471 472 473 474 475 476 477 478 479 480 481 0.373 0.079 0.397 0.451 0.131 0.215 0.914 0.171 0.530 0.505 0.364 0.376 0.540 482 483 484 485 486 487 488 489 490 491 492 493 494 0.514 0.068 0.003 0.051 0.235 0.043 0.350 0.163 0.745 0.803 0.801 0.504 0.745 495 496 497 498 499 500 501 502 503 504 505 506 507 0.665 0.284 0.077 0.116 0.592 0.608 0.239 0.885 0.767 0.861 0.218 0.199 0.361 508 509 510 511 512 513 514 515 516 517 518 519 520 0.383 0.279 0.744 0.144 0.226 0.471 0.041 0.311 0.205 0.727 0.811 0.694 0.713 521 522 523 524 525 526 527 528 529 530 531 532 533 0.592 0.152 0.690 0.553 0.677 0.165 0.620 0.160 0.241 0.690 0.002 0.871 0.746 534 535 536 537 538 539 540 541 542 543 544 545 546 0.480 0.559 0.844 0.207 0.469 0.300 0.467 0.507 0.515 0.804 0.538 0.324 0.531 547 548 549 550 551 552 553 554 555 556 557 558 559 0.259 0.225 0.427 0.589 0.222 0.186 0.056 0.197 0.431 0.385 0.686 0.804 0.230 560 561 562 563 564 565 566 567 568 569 570 571 572 0.508 0.689 0.021 0.591 0.336 0.508 0.497 0.178 0.342 0.644 0.710 0.552 0.313 573 574 575 576 577 578 579 580 581 582 583 584 585 0.190 0.483 0.715 0.758 0.284 0.391 0.149 0.051 0.232 0.649 0.742 0.792 0.249 586 587 588 589 590 591 592 593 594 595 596 597 598 0.015 0.232 0.667 0.554 0.382 0.080 0.502 0.044 0.114 0.752 0.014 0.402 0.518 599 600 601 602 603 604 605 606 607 608 609 610 611 0.742 0.255 0.243 0.219 0.353 0.751 0.015 0.553 0.272 0.369 0.509 0.475 0.756 612 613 614 615 616 617 618 619 620 621 622 623 624 0.446 0.299 0.761 0.399 0.684 0.077 0.138 0.910 0.262 0.046 0.683 0.307 0.202 625 626 627 628 629 630 631 632 633 634 635 636 637 0.482 0.353 0.190 0.650 0.065 0.188 0.331 0.202 0.730 0.245 0.477 0.212 0.265 638 639 640 641 642 643 644 645 646 647 648 649 650 0.528 0.324 0.046 0.054 0.126 0.077 0.215 0.361 0.707 0.128 0.270 0.860 0.029 651 652 653 654 655 656 657 658 659 660 661 662 663 0.397 0.393 0.266 0.640 0.241 0.689 0.116 0.196 0.596 0.211 0.166 0.583 0.452 664 665 666 667 668 669 670 671 672 673 674 675 676 0.271 0.549 0.396 0.811 0.241 0.296 0.336 0.633 0.443 0.683 0.483 0.144 0.175 677 678 679 680 681 682 683 684 685 686 687 688 689 0.014 0.422 0.647 0.776 0.390 0.333 0.412 0.595 0.328 0.272 0.426 0.177 0.025 690 691 692 693 694 695 696 697 698 699 700 701 702 0.295 0.542 0.906 0.257 0.669 0.628 0.200 0.795 0.814 0.671 0.348 0.345 0.654 703 704 705 706 707 708 709 710 711 712 713 714 715 0.483 0.823 0.556 0.420 0.107 0.457 0.658 0.201 0.303 0.693 0.301 0.147 0.020 716 717 718 719 720 721 722 723 724 725 726 727 728 0.387 0.568 0.439 0.082 0.767 0.636 0.235 0.649 0.886 0.183 0.259 0.278 0.388 729 730 731 732 733 734 735 736 737 738 739 740 741 0.253 0.392 0.495 0.252 0.770 0.884 0.422 0.450 0.745 0.720 0.458 0.298 0.644 742 743 744 745 746 747 748 749 750 751 752 753 0.356 0.390 0.469 0.695 0.103 0.227 0.659 0.563 0.426 0.465 0.419 0.640 > round( residuals( wooldridgeMl, part = "outcome" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.027 -0.612 0.313 -0.882 0.301 0.307 0.569 0.839 -0.539 0.267 0.200 12 13 14 15 16 17 18 19 20 21 22 0.450 -0.014 -0.365 0.545 -0.659 -0.102 0.669 -0.597 0.957 -0.120 0.156 23 24 25 26 27 28 29 30 31 32 33 -0.177 -0.023 -0.138 -0.488 0.116 0.488 0.434 0.763 -0.722 -0.651 0.440 34 35 36 37 38 39 40 41 42 43 44 0.090 -0.390 0.263 -0.369 0.438 0.216 1.024 0.196 0.183 -0.463 0.420 45 46 47 48 49 50 51 52 53 54 55 -0.281 0.339 -0.824 0.235 -0.398 -0.005 -0.312 -1.166 -1.039 -0.330 -0.390 56 57 58 59 60 61 62 63 64 65 66 -0.101 0.863 0.451 0.088 -0.212 0.006 0.171 0.316 0.631 1.338 0.571 67 68 69 70 71 72 73 74 75 76 77 0.213 -0.047 0.059 0.029 0.604 0.139 0.681 1.206 0.304 0.347 -1.860 78 79 80 81 82 83 84 85 86 87 88 -0.747 -1.390 -0.036 -0.785 -1.496 -0.018 0.075 -0.474 0.293 -0.183 0.059 89 90 91 92 93 94 95 96 97 98 99 0.297 -0.815 0.350 -0.607 -1.087 -1.668 -1.499 -0.256 0.287 -0.382 -0.073 100 101 102 103 104 105 106 107 108 109 110 -0.054 -0.402 -0.125 -0.187 0.104 0.257 -0.754 0.236 -0.122 -0.035 -0.581 111 112 113 114 115 116 117 118 119 120 121 0.682 -0.003 -0.065 -0.232 0.559 -1.854 0.121 0.727 -0.032 0.531 -0.351 122 123 124 125 126 127 128 129 130 131 132 -0.106 0.610 0.093 0.710 -3.056 -2.300 0.089 -0.686 0.968 -0.131 0.901 133 134 135 136 137 138 139 140 141 142 143 0.101 0.999 0.003 0.036 -0.192 0.369 0.335 0.207 0.643 0.299 -0.026 144 145 146 147 148 149 150 151 152 153 154 -0.399 -0.590 -0.489 -0.019 0.370 -1.329 0.335 -0.230 -0.537 -0.374 -0.084 155 156 157 158 159 160 161 162 163 164 165 0.587 0.381 -0.395 -0.492 0.042 -0.096 -0.515 0.118 -1.253 -0.567 0.130 166 167 168 169 170 171 172 173 174 175 176 -0.074 0.775 0.100 -0.219 -0.022 0.221 0.440 -0.061 -0.492 -0.330 0.403 177 178 179 180 181 182 183 184 185 186 187 0.006 -0.679 0.295 -0.019 0.876 0.481 0.362 0.129 2.389 0.044 0.157 188 189 190 191 192 193 194 195 196 197 198 0.463 -1.416 -0.842 -0.437 0.233 0.391 0.659 -0.454 0.294 0.625 -0.228 199 200 201 202 203 204 205 206 207 208 209 0.291 0.454 0.448 0.812 0.816 -1.078 0.114 0.054 -0.092 -0.064 0.066 210 211 212 213 214 215 216 217 218 219 220 1.744 -0.064 0.230 0.292 -0.129 -0.758 -0.691 1.390 0.015 -0.669 -2.627 221 222 223 224 225 226 227 228 229 230 231 0.607 0.665 -0.505 -0.137 0.402 0.159 0.380 0.428 0.539 0.185 0.326 232 233 234 235 236 237 238 239 240 241 242 0.389 0.485 0.080 0.038 0.679 -0.817 0.293 0.513 0.547 -0.264 0.675 243 244 245 246 247 248 249 250 251 252 253 0.509 -1.014 0.368 1.050 0.422 1.120 0.145 0.602 1.248 0.305 0.339 254 255 256 257 258 259 260 261 262 263 264 0.149 -0.595 0.336 -0.690 -0.002 -0.790 0.011 -0.309 -0.065 0.167 -0.088 265 266 267 268 269 270 271 272 273 274 275 -0.819 -0.286 0.240 -0.081 1.100 0.618 0.593 0.110 -0.440 -0.294 -0.429 276 277 278 279 280 281 282 283 284 285 286 -0.340 0.511 -0.209 0.825 -0.133 -0.616 0.061 -0.083 0.471 -0.013 0.347 287 288 289 290 291 292 293 294 295 296 297 -0.488 -0.196 -0.276 0.986 -0.039 -1.945 0.706 0.231 -0.112 -0.235 -0.106 298 299 300 301 302 303 304 305 306 307 308 -0.411 0.542 0.584 -0.127 0.330 -0.118 0.022 -0.175 -0.167 -0.268 -0.207 309 310 311 312 313 314 315 316 317 318 319 -0.919 0.285 0.321 -0.155 0.633 0.297 0.653 0.099 0.226 0.464 0.063 320 321 322 323 324 325 326 327 328 329 330 -0.020 0.087 -0.398 0.336 0.489 0.618 -0.116 -0.372 -0.188 0.659 0.097 331 332 333 334 335 336 337 338 339 340 341 0.625 0.140 -0.430 0.033 -0.338 -0.246 0.153 0.502 0.222 0.222 -0.959 342 343 344 345 346 347 348 349 350 351 352 -0.091 0.379 -0.392 -0.215 -1.950 0.390 -3.076 2.326 0.653 0.017 -0.559 353 354 355 356 357 358 359 360 361 362 363 -0.478 -1.071 0.311 -0.061 1.372 -1.572 0.026 -0.564 0.400 0.537 -0.201 364 365 366 367 368 369 370 371 372 373 374 0.003 -0.368 1.948 -1.265 -0.923 0.958 0.186 0.741 0.479 -0.394 0.281 375 376 377 378 379 380 381 382 383 384 385 0.230 -0.246 -0.497 -0.244 0.011 0.717 0.389 -0.032 -0.154 0.422 -0.242 386 387 388 389 390 391 392 393 394 395 396 0.256 0.389 -0.487 0.570 0.066 0.160 0.097 -0.933 1.565 0.463 0.256 397 398 399 400 401 402 403 404 405 406 407 0.147 0.085 -0.843 0.069 -0.241 0.945 -0.964 0.254 -0.738 0.122 0.438 408 409 410 411 412 413 414 415 416 417 418 2.313 -0.388 0.483 0.034 -1.003 -0.011 -0.299 -0.480 -2.441 0.502 0.082 419 420 421 422 423 424 425 426 427 428 429 -0.361 0.517 -0.218 0.176 -0.160 0.225 0.391 0.376 0.043 0.400 NA 430 431 432 433 434 435 436 437 438 439 440 NA NA NA NA NA NA NA NA NA NA NA 441 442 443 444 445 446 447 448 449 450 451 NA NA NA NA NA NA NA NA NA NA NA 452 453 454 455 456 457 458 459 460 461 462 NA NA NA NA NA NA NA NA NA NA NA 463 464 465 466 467 468 469 470 471 472 473 NA NA NA NA NA NA NA NA NA NA NA 474 475 476 477 478 479 480 481 482 483 484 NA NA NA NA NA NA NA NA NA NA NA 485 486 487 488 489 490 491 492 493 494 495 NA NA NA NA NA NA NA NA NA NA NA 496 497 498 499 500 501 502 503 504 505 506 NA NA NA NA NA NA NA NA NA NA NA 507 508 509 510 511 512 513 514 515 516 517 NA NA NA NA NA NA NA NA NA NA NA 518 519 520 521 522 523 524 525 526 527 528 NA NA NA NA NA NA NA NA NA NA NA 529 530 531 532 533 534 535 536 537 538 539 NA NA NA NA NA NA NA NA NA NA NA 540 541 542 543 544 545 546 547 548 549 550 NA NA NA NA NA NA NA NA NA NA NA 551 552 553 554 555 556 557 558 559 560 561 NA NA NA NA NA NA NA NA NA NA NA 562 563 564 565 566 567 568 569 570 571 572 NA NA NA NA NA NA NA NA NA NA NA 573 574 575 576 577 578 579 580 581 582 583 NA NA NA NA NA NA NA NA NA NA NA 584 585 586 587 588 589 590 591 592 593 594 NA NA NA NA NA NA NA NA NA NA NA 595 596 597 598 599 600 601 602 603 604 605 NA NA NA NA NA NA NA NA NA NA NA 606 607 608 609 610 611 612 613 614 615 616 NA NA NA NA NA NA NA NA NA NA NA 617 618 619 620 621 622 623 624 625 626 627 NA NA NA NA NA NA NA NA NA NA NA 628 629 630 631 632 633 634 635 636 637 638 NA NA NA NA NA NA NA NA NA NA NA 639 640 641 642 643 644 645 646 647 648 649 NA NA NA NA NA NA NA NA NA NA NA 650 651 652 653 654 655 656 657 658 659 660 NA NA NA NA NA NA NA NA NA NA NA 661 662 663 664 665 666 667 668 669 670 671 NA NA NA NA NA NA NA NA NA NA NA 672 673 674 675 676 677 678 679 680 681 682 NA NA NA NA NA NA NA NA NA NA NA 683 684 685 686 687 688 689 690 691 692 693 NA NA NA NA NA NA NA NA NA NA NA 694 695 696 697 698 699 700 701 702 703 704 NA NA NA NA NA NA NA NA NA NA NA 705 706 707 708 709 710 711 712 713 714 715 NA NA NA NA NA NA NA NA NA NA NA 716 717 718 719 720 721 722 723 724 725 726 NA NA NA NA NA NA NA NA NA NA NA 727 728 729 730 731 732 733 734 735 736 737 NA NA NA NA NA NA NA NA NA NA NA 738 739 740 741 742 743 744 745 746 747 748 NA NA NA NA NA NA NA NA NA NA NA 749 750 751 752 753 NA NA NA NA NA > all.equal( residuals( wooldridgeMl ), + residuals( wooldridgeMl, part = "outcome" ) ) [1] TRUE > round( residuals( wooldridgeMl, part = "selection" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.854 0.765 0.852 0.721 1.046 0.646 0.371 0.658 0.568 0.389 0.466 12 13 14 15 16 17 18 19 20 21 22 0.775 1.700 0.678 1.375 0.737 0.502 0.894 0.525 0.603 0.850 0.457 23 24 25 26 27 28 29 30 31 32 33 0.672 0.704 1.361 0.294 0.835 0.583 0.811 1.043 0.577 1.061 0.384 34 35 36 37 38 39 40 41 42 43 44 0.961 0.256 1.642 0.670 0.578 0.537 0.262 1.612 1.232 0.960 1.058 45 46 47 48 49 50 51 52 53 54 55 0.656 0.847 0.749 0.504 0.897 0.626 0.966 0.792 0.409 1.174 0.719 56 57 58 59 60 61 62 63 64 65 66 0.359 0.583 0.374 0.603 0.934 0.404 0.815 1.329 0.777 0.616 0.875 67 68 69 70 71 72 73 74 75 76 77 0.457 0.595 0.869 0.670 0.511 1.141 1.028 1.764 0.400 0.651 1.017 78 79 80 81 82 83 84 85 86 87 88 0.309 1.406 1.873 1.133 0.696 1.133 1.519 0.735 0.404 0.732 0.787 89 90 91 92 93 94 95 96 97 98 99 1.076 1.083 0.659 1.696 0.943 1.386 0.413 0.519 0.547 0.997 1.330 100 101 102 103 104 105 106 107 108 109 110 1.062 1.157 0.577 1.711 1.086 0.892 0.714 0.667 0.520 0.587 1.090 111 112 113 114 115 116 117 118 119 120 121 1.370 0.588 0.577 0.910 0.905 0.770 0.565 0.995 2.121 1.393 0.877 122 123 124 125 126 127 128 129 130 131 132 0.466 1.271 0.585 0.792 0.411 0.998 0.851 0.869 1.072 1.745 2.139 133 134 135 136 137 138 139 140 141 142 143 0.623 0.795 1.667 1.456 1.040 0.724 1.605 0.693 0.802 0.320 0.301 144 145 146 147 148 149 150 151 152 153 154 0.602 1.574 1.350 0.908 0.573 0.915 0.295 0.420 0.810 1.060 0.804 155 156 157 158 159 160 161 162 163 164 165 0.987 1.061 1.333 0.283 0.438 0.555 0.422 0.535 0.264 0.913 0.607 166 167 168 169 170 171 172 173 174 175 176 1.027 0.304 0.820 1.074 0.488 1.359 0.793 0.499 0.887 0.547 1.740 177 178 179 180 181 182 183 184 185 186 187 0.515 0.471 1.442 1.257 0.566 0.946 0.786 0.679 1.328 1.440 0.325 188 189 190 191 192 193 194 195 196 197 198 0.873 0.706 0.533 0.865 0.729 0.924 0.596 0.905 0.946 0.371 1.011 199 200 201 202 203 204 205 206 207 208 209 0.678 1.035 0.967 1.033 0.384 1.112 0.583 0.728 0.721 0.404 0.875 210 211 212 213 214 215 216 217 218 219 220 0.733 0.592 1.393 0.850 1.331 0.597 0.793 1.739 0.438 0.522 2.025 221 222 223 224 225 226 227 228 229 230 231 0.551 1.150 1.158 0.661 0.447 0.725 1.035 1.313 0.790 0.950 0.631 232 233 234 235 236 237 238 239 240 241 242 0.952 0.990 0.861 0.389 1.113 2.103 0.889 0.486 0.490 0.691 0.466 243 244 245 246 247 248 249 250 251 252 253 0.538 0.907 0.960 1.091 1.169 0.966 0.703 0.813 1.750 1.765 0.613 254 255 256 257 258 259 260 261 262 263 264 0.717 0.640 0.972 1.366 1.298 1.242 0.671 1.983 0.717 0.483 0.934 265 266 267 268 269 270 271 272 273 274 275 1.215 0.958 1.055 1.015 1.072 1.280 0.644 0.965 1.260 1.797 1.098 276 277 278 279 280 281 282 283 284 285 286 0.492 0.641 1.194 0.456 0.300 0.435 0.865 0.866 1.364 0.639 0.874 287 288 289 290 291 292 293 294 295 296 297 1.125 0.400 0.608 0.767 0.458 0.407 0.680 0.659 0.529 0.656 0.444 298 299 300 301 302 303 304 305 306 307 308 0.615 0.665 0.201 0.515 0.431 1.041 0.316 0.966 0.822 0.527 1.697 309 310 311 312 313 314 315 316 317 318 319 1.246 0.950 0.645 0.440 0.465 0.624 0.356 0.993 0.687 1.228 1.176 320 321 322 323 324 325 326 327 328 329 330 0.741 0.920 1.427 1.311 0.787 0.411 1.470 1.379 1.320 0.729 0.435 331 332 333 334 335 336 337 338 339 340 341 0.411 0.312 0.724 0.817 1.408 0.371 0.834 1.009 0.413 0.675 0.895 342 343 344 345 346 347 348 349 350 351 352 0.983 0.442 0.700 0.290 1.156 0.491 0.697 2.042 0.515 0.633 1.272 353 354 355 356 357 358 359 360 361 362 363 0.927 0.410 0.688 1.039 0.362 1.033 1.679 0.480 0.962 0.699 0.796 364 365 366 367 368 369 370 371 372 373 374 1.060 0.525 1.475 0.834 0.582 0.522 0.744 0.498 1.032 0.455 0.787 375 376 377 378 379 380 381 382 383 384 385 1.196 0.835 1.196 0.451 1.699 0.995 0.426 0.577 0.394 0.571 0.376 386 387 388 389 390 391 392 393 394 395 396 0.640 1.036 0.927 0.380 0.473 1.575 0.285 1.075 0.918 0.720 0.992 397 398 399 400 401 402 403 404 405 406 407 1.186 0.315 0.898 1.251 0.999 2.460 1.837 1.377 0.558 0.409 0.595 408 409 410 411 412 413 414 415 416 417 418 1.617 0.420 1.455 0.445 1.076 0.432 0.464 1.148 1.884 0.744 1.306 419 420 421 422 423 424 425 426 427 428 429 0.362 1.202 0.898 1.682 1.015 1.263 0.474 0.447 0.494 0.653 -0.730 430 431 432 433 434 435 436 437 438 439 440 -0.762 -1.403 -0.862 -1.493 -1.143 -1.439 -0.826 -0.770 -1.192 -0.631 -1.859 441 442 443 444 445 446 447 448 449 450 451 -0.468 -0.816 -0.359 -1.058 -1.093 -0.916 -0.573 -0.891 -0.693 -1.310 -1.558 452 453 454 455 456 457 458 459 460 461 462 -1.540 -1.589 -1.013 -1.193 -1.184 -1.412 -1.152 -0.545 -1.032 -1.051 -0.545 463 464 465 466 467 468 469 470 471 472 473 -0.802 -0.921 -0.654 -1.197 -1.009 -1.101 -0.966 -0.406 -1.005 -1.095 -0.531 474 475 476 477 478 479 480 481 482 483 484 -0.695 -2.215 -0.612 -1.229 -1.186 -0.951 -0.971 -1.246 -1.201 -0.374 -0.075 485 486 487 488 489 490 491 492 493 494 495 -0.323 -0.732 -0.297 -0.928 -0.596 -1.654 -1.803 -1.797 -1.184 -1.654 -1.478 496 497 498 499 500 501 502 503 504 505 506 -0.818 -0.400 -0.496 -1.340 -1.368 -0.740 -2.079 -1.706 -1.986 -0.701 -0.666 507 508 509 510 511 512 513 514 515 516 517 -0.947 -0.983 -0.809 -1.652 -0.558 -0.716 -1.129 -0.288 -0.864 -0.678 -1.612 518 519 520 521 522 523 524 525 526 527 528 -1.825 -1.538 -1.580 -1.338 -0.575 -1.531 -1.270 -1.504 -0.601 -1.392 -0.591 529 530 531 532 533 534 535 536 537 538 539 -0.742 -1.531 -0.070 -2.024 -1.656 -1.144 -1.280 -1.927 -0.681 -1.125 -0.845 540 541 542 543 544 545 546 547 548 549 550 -1.121 -1.190 -1.203 -1.805 -1.243 -0.885 -1.231 -0.775 -0.714 -1.056 -1.334 551 552 553 554 555 556 557 558 559 560 561 -0.708 -0.641 -0.339 -0.663 -1.062 -0.987 -1.522 -1.807 -0.723 -1.191 -1.529 562 563 564 565 566 567 568 569 570 571 572 -0.204 -1.336 -0.904 -1.191 -1.173 -0.627 -0.915 -1.437 -1.573 -1.268 -0.866 573 574 575 576 577 578 579 580 581 582 583 -0.649 -1.148 -1.585 -1.684 -0.817 -0.995 -0.568 -0.324 -0.727 -1.447 -1.646 584 585 586 587 588 589 590 591 592 593 594 -1.773 -0.756 -0.175 -0.726 -1.483 -1.271 -0.981 -0.409 -1.181 -0.299 -0.493 595 596 597 598 599 600 601 602 603 604 605 -1.669 -0.171 -1.013 -1.208 -1.646 -0.768 -0.746 -0.704 -0.934 -1.668 -0.173 606 607 608 609 610 611 612 613 614 615 616 -1.270 -0.797 -0.960 -1.193 -1.136 -1.679 -1.086 -0.843 -1.691 -1.009 -1.518 617 618 619 620 621 622 623 624 625 626 627 -0.399 -0.545 -2.194 -0.779 -0.307 -1.515 -0.856 -0.671 -1.148 -0.933 -0.649 628 629 630 631 632 633 634 635 636 637 638 -1.448 -0.366 -0.645 -0.896 -0.672 -1.618 -0.749 -1.138 -0.689 -0.785 -1.226 639 640 641 642 643 644 645 646 647 648 649 -0.885 -0.307 -0.334 -0.519 -0.400 -0.696 -0.947 -1.566 -0.523 -0.793 -1.982 650 651 652 653 654 655 656 657 658 659 660 -0.244 -1.006 -0.999 -0.786 -1.429 -0.742 -1.529 -0.497 -0.661 -1.346 -0.689 661 662 663 664 665 666 667 668 669 670 671 -0.603 -1.322 -1.096 -0.795 -1.262 -1.003 -1.826 -0.742 -0.838 -0.905 -1.417 672 673 674 675 676 677 678 679 680 681 682 -1.082 -1.516 -1.148 -0.558 -0.620 -0.166 -1.047 -1.443 -1.730 -0.994 -0.899 683 684 685 686 687 688 689 690 691 692 693 -1.030 -1.345 -0.892 -0.797 -1.053 -0.624 -0.223 -0.837 -1.250 -2.176 -0.771 694 695 696 697 698 699 700 701 702 703 704 -1.486 -1.405 -0.668 -1.779 -1.833 -1.491 -0.925 -0.920 -1.458 -1.149 -1.861 705 706 707 708 709 710 711 712 713 714 715 -1.274 -1.044 -0.475 -1.105 -1.465 -0.669 -0.849 -1.537 -0.846 -0.564 -0.201 716 717 718 719 720 721 722 723 724 725 726 -0.990 -1.296 -1.075 -0.413 -1.707 -1.422 -0.733 -1.447 -2.084 -0.637 -0.774 727 728 729 730 731 732 733 734 735 736 737 -0.807 -0.991 -0.764 -0.998 -1.168 -0.763 -1.714 -2.075 -1.047 -1.094 -1.652 738 739 740 741 742 743 744 745 746 747 748 -1.596 -1.106 -0.841 -1.437 -0.939 -0.994 -1.125 -1.541 -0.467 -0.717 -1.468 749 750 751 752 753 -1.287 -1.053 -1.119 -1.041 -1.430 > all.equal( residuals( wooldridgeMl, part = "selection" ), + residuals( wooldridgeMl, part = "selection", type = "deviance" ) ) [1] TRUE > !isTRUE( all.equal( residuals( wooldridge, part = "selection" ), + residuals( wooldridgeMl, part = "selection" ) ) ) [1] TRUE > round( residuals( wooldridgeMl, part = "selection", type = "pearson" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.663 0.583 0.661 0.544 0.853 0.482 0.267 0.491 0.418 0.280 0.339 12 13 14 15 16 17 18 19 20 21 22 0.592 1.800 0.509 1.254 0.558 0.367 0.701 0.385 0.447 0.660 0.331 23 24 25 26 27 28 29 30 31 32 33 0.503 0.530 1.235 0.210 0.646 0.430 0.624 0.850 0.426 0.869 0.276 34 35 36 37 38 39 40 41 42 43 44 0.766 0.183 1.688 0.502 0.426 0.394 0.187 1.633 1.065 0.765 0.866 45 46 47 48 49 50 51 52 53 54 55 0.490 0.657 0.569 0.368 0.704 0.465 0.771 0.607 0.296 0.996 0.543 56 57 58 59 60 61 62 63 64 65 66 0.258 0.431 0.269 0.447 0.740 0.292 0.627 1.191 0.594 0.457 0.683 67 68 69 70 71 72 73 74 75 76 77 0.332 0.440 0.677 0.502 0.374 0.957 0.835 1.935 0.289 0.486 0.823 78 79 80 81 82 83 84 85 86 87 88 0.221 1.299 2.186 0.949 0.523 0.948 1.474 0.557 0.291 0.554 0.603 89 90 91 92 93 94 95 96 97 98 99 0.885 0.894 0.493 1.793 0.748 1.270 0.298 0.380 0.402 0.802 1.192 100 101 102 103 104 105 106 107 108 109 110 0.871 0.976 0.426 1.822 0.896 0.699 0.539 0.499 0.380 0.434 0.900 111 112 113 114 115 116 117 118 119 120 121 1.247 0.435 0.425 0.716 0.711 0.587 0.416 0.800 2.911 1.280 0.684 122 123 124 125 126 127 128 129 130 131 132 0.338 1.115 0.432 0.607 0.297 0.803 0.661 0.677 0.881 1.894 2.976 133 134 135 136 137 138 139 140 141 142 143 0.463 0.610 1.736 1.373 0.846 0.547 1.620 0.521 0.615 0.229 0.215 144 145 146 147 148 149 150 151 152 153 154 0.446 1.565 1.219 0.715 0.422 0.721 0.211 0.304 0.623 0.868 0.618 155 156 157 158 159 160 161 162 163 164 165 0.792 0.870 1.196 0.202 0.318 0.408 0.305 0.392 0.188 0.719 0.449 166 167 168 169 170 171 172 173 174 175 176 0.834 0.217 0.632 0.883 0.355 1.232 0.608 0.364 0.695 0.402 1.882 177 178 179 180 181 182 183 184 185 186 187 0.376 0.343 1.352 1.097 0.417 0.751 0.602 0.509 1.190 1.349 0.233 188 189 190 191 192 193 194 195 196 197 198 0.681 0.532 0.391 0.674 0.552 0.730 0.441 0.712 0.752 0.267 0.816 199 200 201 202 203 204 205 206 207 208 209 0.508 0.841 0.772 0.840 0.276 0.925 0.430 0.550 0.545 0.292 0.683 210 211 212 213 214 215 216 217 218 219 220 0.555 0.437 1.281 0.659 1.193 0.442 0.608 1.880 0.317 0.382 2.601 221 222 223 224 225 226 227 228 229 230 231 0.405 0.968 0.977 0.494 0.324 0.548 0.842 1.169 0.605 0.756 0.469 232 233 234 235 236 237 238 239 240 241 242 0.757 0.795 0.670 0.281 0.926 2.849 0.696 0.354 0.357 0.519 0.339 243 244 245 246 247 248 249 250 251 252 253 0.394 0.713 0.765 0.902 0.990 0.771 0.530 0.626 1.904 1.936 0.455 254 255 256 257 258 259 260 261 262 263 264 0.542 0.477 0.777 1.242 1.149 1.079 0.502 2.478 0.541 0.351 0.740 265 266 267 268 269 270 271 272 273 274 275 1.045 0.763 0.863 0.821 0.881 1.126 0.480 0.771 1.101 2.006 0.909 276 277 278 279 280 281 282 283 284 285 286 0.359 0.478 1.019 0.331 0.215 0.315 0.674 0.675 1.239 0.476 0.682 287 288 289 290 291 292 293 294 295 296 297 0.940 0.288 0.451 0.585 0.333 0.294 0.510 0.493 0.388 0.490 0.322 298 299 300 301 302 303 304 305 306 307 308 0.456 0.498 0.143 0.376 0.312 0.848 0.226 0.772 0.634 0.386 1.794 309 310 311 312 313 314 315 316 317 318 319 1.083 0.755 0.481 0.319 0.338 0.463 0.256 0.799 0.516 1.061 0.999 320 321 322 323 324 325 326 327 328 329 330 0.562 0.725 1.329 1.166 0.602 0.297 1.395 1.260 1.178 0.552 0.315 331 332 333 334 335 336 337 338 339 340 341 0.297 0.223 0.547 0.629 1.302 0.267 0.645 0.815 0.298 0.506 0.702 342 343 344 345 346 347 348 349 350 351 352 0.789 0.320 0.527 0.207 0.976 0.358 0.524 2.655 0.377 0.471 1.116 353 354 355 356 357 358 359 360 361 362 363 0.732 0.296 0.517 0.846 0.260 0.839 1.760 0.350 0.767 0.526 0.611 364 365 366 367 368 369 370 371 372 373 374 0.868 0.384 1.403 0.645 0.429 0.382 0.565 0.363 0.838 0.330 0.602 375 376 377 378 379 380 381 382 383 384 385 1.022 0.646 1.023 0.327 1.799 0.800 0.308 0.426 0.284 0.421 0.270 386 387 388 389 390 391 392 393 394 395 396 0.477 0.842 0.732 0.274 0.344 1.567 0.203 0.885 0.724 0.544 0.797 397 398 399 400 401 402 403 404 405 406 407 1.010 0.226 0.705 1.089 0.804 4.429 2.098 1.258 0.411 0.296 0.440 408 409 410 411 412 413 414 415 416 417 418 1.642 0.304 1.372 0.323 0.886 0.312 0.337 0.965 2.214 0.565 1.160 419 420 421 422 423 424 425 426 427 428 429 0.260 1.029 0.705 1.766 0.821 1.104 0.344 0.324 0.361 0.488 -0.552 430 431 432 433 434 435 436 437 438 439 440 -0.580 -1.294 -0.671 -1.432 -0.960 -1.348 -0.638 -0.588 -1.017 -0.470 -2.150 441 442 443 444 445 446 447 448 449 450 451 -0.340 -0.629 -0.258 -0.866 -0.904 -0.722 -0.422 -0.698 -0.521 -1.165 -1.539 452 453 454 455 456 457 458 459 460 461 462 -1.508 -1.592 -0.819 -1.019 -1.008 -1.307 -0.971 -0.400 -0.839 -0.859 -0.400 463 464 465 466 467 468 469 470 471 472 473 -0.616 -0.727 -0.488 -1.023 -0.815 -0.913 -0.771 -0.293 -0.811 -0.906 -0.389 474 475 476 477 478 479 480 481 482 483 484 -0.523 -3.260 -0.454 -1.062 -1.011 -0.756 -0.777 -1.084 -1.029 -0.269 -0.053 485 486 487 488 489 490 491 492 493 494 495 -0.232 -0.555 -0.212 -0.734 -0.441 -1.710 -2.021 -2.006 -1.007 -1.710 -1.407 496 497 498 499 500 501 502 503 504 505 506 -0.630 -0.289 -0.362 -1.205 -1.245 -0.561 -2.770 -1.812 -2.486 -0.528 -0.498 507 508 509 510 511 512 513 514 515 516 517 -0.752 -0.788 -0.622 -1.706 -0.411 -0.541 -0.944 -0.206 -0.673 -0.508 -1.632 518 519 520 521 522 523 524 525 526 527 528 -2.071 -1.504 -1.576 -1.204 -0.424 -1.493 -1.113 -1.449 -0.444 -1.278 -0.437 529 530 531 532 533 534 535 536 537 538 539 -0.563 -1.493 -0.050 -2.600 -1.715 -0.962 -1.126 -2.324 -0.511 -0.940 -0.655 540 541 542 543 544 545 546 547 548 549 550 -0.936 -1.014 -1.030 -2.025 -1.080 -0.693 -1.064 -0.592 -0.538 -0.864 -1.197 551 552 553 554 555 556 557 558 559 560 561 -0.534 -0.477 -0.243 -0.496 -0.870 -0.792 -1.478 -2.028 -0.547 -1.017 -1.490 562 563 564 565 566 567 568 569 570 571 572 -0.145 -1.201 -0.711 -1.016 -0.994 -0.466 -0.721 -1.344 -1.565 -1.111 -0.674 573 574 575 576 577 578 579 580 581 582 583 -0.484 -0.966 -1.585 -1.770 -0.629 -0.801 -0.419 -0.232 -0.550 -1.359 -1.697 584 585 586 587 588 589 590 591 592 593 594 -1.954 -0.575 -0.124 -0.549 -1.416 -1.115 -0.786 -0.296 -1.005 -0.214 -0.359 595 596 597 598 599 600 601 602 603 604 605 -1.739 -0.121 -0.819 -1.037 -1.696 -0.586 -0.566 -0.530 -0.739 -1.737 -0.123 606 607 608 609 610 611 612 613 614 615 616 -1.113 -0.611 -0.765 -1.018 -0.952 -1.758 -0.896 -0.653 -1.783 -0.815 -1.472 617 618 619 620 621 622 623 624 625 626 627 -0.288 -0.400 -3.178 -0.595 -0.220 -1.467 -0.665 -0.503 -0.965 -0.738 -0.484 628 629 630 631 632 633 634 635 636 637 638 -1.361 -0.263 -0.481 -0.703 -0.503 -1.645 -0.569 -0.954 -0.518 -0.601 -1.058 639 640 641 642 643 644 645 646 647 648 649 -0.692 -0.220 -0.240 -0.380 -0.289 -0.524 -0.752 -1.553 -0.383 -0.608 -2.476 650 651 652 653 654 655 656 657 658 659 660 -0.174 -0.812 -0.805 -0.601 -1.332 -0.563 -1.489 -0.363 -0.494 -1.213 -0.517 661 662 663 664 665 666 667 668 669 670 671 -0.447 -1.182 -0.908 -0.609 -1.104 -0.809 -2.072 -0.563 -0.649 -0.712 -1.315 672 673 674 675 676 677 678 679 680 681 682 -0.892 -1.468 -0.966 -0.410 -0.460 -0.118 -0.855 -1.353 -1.862 -0.799 -0.706 683 684 685 686 687 688 689 690 691 692 693 -0.836 -1.213 -0.699 -0.612 -0.861 -0.463 -0.159 -0.648 -1.088 -3.112 -0.588 694 695 696 697 698 699 700 701 702 703 704 -1.421 -1.298 -0.500 -1.967 -2.089 -1.427 -0.731 -0.726 -1.376 -0.967 -2.157 705 706 707 708 709 710 711 712 713 714 715 -1.119 -0.851 -0.346 -0.918 -1.388 -0.501 -0.659 -1.503 -0.656 -0.415 -0.143 716 717 718 719 720 721 722 723 724 725 726 -0.795 -1.147 -0.884 -0.298 -1.814 -1.322 -0.555 -1.360 -2.789 -0.474 -0.591 727 728 729 730 731 732 733 734 735 736 737 -0.620 -0.796 -0.582 -0.803 -0.989 -0.581 -1.829 -2.758 -0.855 -0.905 -1.708 738 739 740 741 742 743 744 745 746 747 748 -1.604 -0.918 -0.652 -1.345 -0.744 -0.799 -0.940 -1.509 -0.339 -0.541 -1.391 749 750 751 752 753 -1.136 -0.861 -0.933 -0.849 -1.334 > !isTRUE( all.equal( residuals( wooldridge, part = "selection", type = "pearson" ), + residuals( wooldridgeMl, part = "selection", type = "pearson" ) ) ) [1] TRUE > round( residuals( wooldridgeMl, part = "selection", type = "response" ), digits = 3 ) 1 2 3 4 5 6 7 8 9 10 11 0.306 0.254 0.304 0.229 0.421 0.188 0.067 0.194 0.149 0.073 0.103 12 13 14 15 16 17 18 19 20 21 22 0.259 0.764 0.206 0.611 0.238 0.118 0.330 0.129 0.166 0.303 0.099 23 24 25 26 27 28 29 30 31 32 33 0.202 0.219 0.604 0.042 0.294 0.156 0.280 0.419 0.154 0.430 0.071 34 35 36 37 38 39 40 41 42 43 44 0.370 0.032 0.740 0.201 0.154 0.134 0.034 0.727 0.532 0.369 0.429 45 46 47 48 49 50 51 52 53 54 55 0.193 0.301 0.245 0.119 0.331 0.178 0.373 0.269 0.080 0.498 0.228 56 57 58 59 60 61 62 63 64 65 66 0.062 0.156 0.067 0.166 0.354 0.078 0.282 0.586 0.261 0.173 0.318 67 68 69 70 71 72 73 74 75 76 77 0.099 0.162 0.314 0.201 0.122 0.478 0.411 0.789 0.077 0.191 0.404 78 79 80 81 82 83 84 85 86 87 88 0.047 0.628 0.827 0.474 0.215 0.473 0.685 0.237 0.078 0.235 0.266 89 90 91 92 93 94 95 96 97 98 99 0.439 0.444 0.195 0.763 0.359 0.617 0.082 0.126 0.139 0.392 0.587 100 101 102 103 104 105 106 107 108 109 110 0.431 0.488 0.153 0.769 0.445 0.328 0.225 0.199 0.126 0.158 0.448 111 112 113 114 115 116 117 118 119 120 121 0.609 0.159 0.153 0.339 0.336 0.256 0.148 0.390 0.894 0.621 0.319 122 123 124 125 126 127 128 129 130 131 132 0.103 0.554 0.157 0.269 0.081 0.392 0.304 0.315 0.437 0.782 0.899 133 134 135 136 137 138 139 140 141 142 143 0.176 0.271 0.751 0.653 0.417 0.230 0.724 0.214 0.275 0.050 0.044 144 145 146 147 148 149 150 151 152 153 154 0.166 0.710 0.598 0.338 0.151 0.342 0.043 0.085 0.280 0.430 0.276 155 156 157 158 159 160 161 162 163 164 165 0.385 0.431 0.589 0.039 0.092 0.143 0.085 0.133 0.034 0.341 0.168 166 167 168 169 170 171 172 173 174 175 176 0.410 0.045 0.286 0.438 0.112 0.603 0.270 0.117 0.326 0.139 0.780 177 178 179 180 181 182 183 184 185 186 187 0.124 0.105 0.646 0.546 0.148 0.361 0.266 0.206 0.586 0.645 0.051 188 189 190 191 192 193 194 195 196 197 198 0.317 0.221 0.133 0.312 0.233 0.348 0.163 0.336 0.361 0.066 0.400 199 200 201 202 203 204 205 206 207 208 209 0.205 0.414 0.373 0.414 0.071 0.461 0.156 0.233 0.229 0.078 0.318 210 211 212 213 214 215 216 217 218 219 220 0.236 0.161 0.621 0.303 0.587 0.163 0.270 0.779 0.092 0.127 0.871 221 222 223 224 225 226 227 228 229 230 231 0.141 0.484 0.489 0.196 0.095 0.231 0.415 0.578 0.268 0.363 0.181 232 233 234 235 236 237 238 239 240 241 242 0.364 0.387 0.310 0.073 0.462 0.890 0.326 0.111 0.113 0.212 0.103 243 244 245 246 247 248 249 250 251 252 253 0.135 0.337 0.369 0.448 0.495 0.373 0.219 0.282 0.784 0.789 0.171 254 255 256 257 258 259 260 261 262 263 264 0.227 0.185 0.376 0.607 0.569 0.538 0.201 0.860 0.226 0.110 0.354 265 266 267 268 269 270 271 272 273 274 275 0.522 0.368 0.427 0.403 0.437 0.559 0.187 0.373 0.548 0.801 0.453 276 277 278 279 280 281 282 283 284 285 286 0.114 0.186 0.510 0.099 0.044 0.090 0.312 0.313 0.605 0.184 0.317 287 288 289 290 291 292 293 294 295 296 297 0.469 0.077 0.169 0.255 0.100 0.079 0.207 0.195 0.131 0.193 0.094 298 299 300 301 302 303 304 305 306 307 308 0.172 0.199 0.020 0.124 0.089 0.418 0.049 0.373 0.287 0.130 0.763 309 310 311 312 313 314 315 316 317 318 319 0.540 0.363 0.188 0.092 0.102 0.177 0.061 0.389 0.210 0.529 0.499 320 321 322 323 324 325 326 327 328 329 330 0.240 0.345 0.639 0.576 0.266 0.081 0.661 0.614 0.581 0.233 0.090 331 332 333 334 335 336 337 338 339 340 341 0.081 0.048 0.230 0.284 0.629 0.066 0.294 0.399 0.082 0.204 0.330 342 343 344 345 346 347 348 349 350 351 352 0.383 0.093 0.217 0.041 0.488 0.114 0.215 0.876 0.124 0.181 0.554 353 354 355 356 357 358 359 360 361 362 363 0.349 0.080 0.211 0.417 0.063 0.413 0.756 0.109 0.370 0.217 0.272 364 365 366 367 368 369 370 371 372 373 374 0.430 0.129 0.663 0.294 0.156 0.127 0.242 0.117 0.413 0.098 0.266 375 376 377 378 379 380 381 382 383 384 385 0.511 0.294 0.511 0.097 0.764 0.390 0.087 0.153 0.075 0.150 0.068 386 387 388 389 390 391 392 393 394 395 396 0.185 0.415 0.349 0.070 0.106 0.710 0.040 0.439 0.344 0.228 0.389 397 398 399 400 401 402 403 404 405 406 407 0.505 0.048 0.332 0.543 0.393 0.951 0.815 0.613 0.144 0.080 0.162 408 409 410 411 412 413 414 415 416 417 418 0.729 0.085 0.653 0.094 0.440 0.089 0.102 0.482 0.831 0.242 0.574 419 420 421 422 423 424 425 426 427 428 429 0.063 0.514 0.332 0.757 0.402 0.549 0.106 0.095 0.115 0.192 -0.234 430 431 432 433 434 435 436 437 438 439 440 -0.252 -0.626 -0.311 -0.672 -0.479 -0.645 -0.289 -0.257 -0.509 -0.181 -0.822 441 442 443 444 445 446 447 448 449 450 451 -0.104 -0.283 -0.063 -0.428 -0.450 -0.343 -0.151 -0.327 -0.214 -0.576 -0.703 452 453 454 455 456 457 458 459 460 461 462 -0.695 -0.717 -0.401 -0.509 -0.504 -0.631 -0.485 -0.138 -0.413 -0.425 -0.138 463 464 465 466 467 468 469 470 471 472 473 -0.275 -0.346 -0.192 -0.512 -0.399 -0.455 -0.373 -0.079 -0.397 -0.451 -0.131 474 475 476 477 478 479 480 481 482 483 484 -0.215 -0.914 -0.171 -0.530 -0.505 -0.364 -0.376 -0.540 -0.514 -0.068 -0.003 485 486 487 488 489 490 491 492 493 494 495 -0.051 -0.235 -0.043 -0.350 -0.163 -0.745 -0.803 -0.801 -0.504 -0.745 -0.665 496 497 498 499 500 501 502 503 504 505 506 -0.284 -0.077 -0.116 -0.592 -0.608 -0.239 -0.885 -0.767 -0.861 -0.218 -0.199 507 508 509 510 511 512 513 514 515 516 517 -0.361 -0.383 -0.279 -0.744 -0.144 -0.226 -0.471 -0.041 -0.311 -0.205 -0.727 518 519 520 521 522 523 524 525 526 527 528 -0.811 -0.694 -0.713 -0.592 -0.152 -0.690 -0.553 -0.677 -0.165 -0.620 -0.160 529 530 531 532 533 534 535 536 537 538 539 -0.241 -0.690 -0.002 -0.871 -0.746 -0.480 -0.559 -0.844 -0.207 -0.469 -0.300 540 541 542 543 544 545 546 547 548 549 550 -0.467 -0.507 -0.515 -0.804 -0.538 -0.324 -0.531 -0.259 -0.225 -0.427 -0.589 551 552 553 554 555 556 557 558 559 560 561 -0.222 -0.186 -0.056 -0.197 -0.431 -0.385 -0.686 -0.804 -0.230 -0.508 -0.689 562 563 564 565 566 567 568 569 570 571 572 -0.021 -0.591 -0.336 -0.508 -0.497 -0.178 -0.342 -0.644 -0.710 -0.552 -0.313 573 574 575 576 577 578 579 580 581 582 583 -0.190 -0.483 -0.715 -0.758 -0.284 -0.391 -0.149 -0.051 -0.232 -0.649 -0.742 584 585 586 587 588 589 590 591 592 593 594 -0.792 -0.249 -0.015 -0.232 -0.667 -0.554 -0.382 -0.080 -0.502 -0.044 -0.114 595 596 597 598 599 600 601 602 603 604 605 -0.752 -0.014 -0.402 -0.518 -0.742 -0.255 -0.243 -0.219 -0.353 -0.751 -0.015 606 607 608 609 610 611 612 613 614 615 616 -0.553 -0.272 -0.369 -0.509 -0.475 -0.756 -0.446 -0.299 -0.761 -0.399 -0.684 617 618 619 620 621 622 623 624 625 626 627 -0.077 -0.138 -0.910 -0.262 -0.046 -0.683 -0.307 -0.202 -0.482 -0.353 -0.190 628 629 630 631 632 633 634 635 636 637 638 -0.650 -0.065 -0.188 -0.331 -0.202 -0.730 -0.245 -0.477 -0.212 -0.265 -0.528 639 640 641 642 643 644 645 646 647 648 649 -0.324 -0.046 -0.054 -0.126 -0.077 -0.215 -0.361 -0.707 -0.128 -0.270 -0.860 650 651 652 653 654 655 656 657 658 659 660 -0.029 -0.397 -0.393 -0.266 -0.640 -0.241 -0.689 -0.116 -0.196 -0.596 -0.211 661 662 663 664 665 666 667 668 669 670 671 -0.166 -0.583 -0.452 -0.271 -0.549 -0.396 -0.811 -0.241 -0.296 -0.336 -0.633 672 673 674 675 676 677 678 679 680 681 682 -0.443 -0.683 -0.483 -0.144 -0.175 -0.014 -0.422 -0.647 -0.776 -0.390 -0.333 683 684 685 686 687 688 689 690 691 692 693 -0.412 -0.595 -0.328 -0.272 -0.426 -0.177 -0.025 -0.295 -0.542 -0.906 -0.257 694 695 696 697 698 699 700 701 702 703 704 -0.669 -0.628 -0.200 -0.795 -0.814 -0.671 -0.348 -0.345 -0.654 -0.483 -0.823 705 706 707 708 709 710 711 712 713 714 715 -0.556 -0.420 -0.107 -0.457 -0.658 -0.201 -0.303 -0.693 -0.301 -0.147 -0.020 716 717 718 719 720 721 722 723 724 725 726 -0.387 -0.568 -0.439 -0.082 -0.767 -0.636 -0.235 -0.649 -0.886 -0.183 -0.259 727 728 729 730 731 732 733 734 735 736 737 -0.278 -0.388 -0.253 -0.392 -0.495 -0.252 -0.770 -0.884 -0.422 -0.450 -0.745 738 739 740 741 742 743 744 745 746 747 748 -0.720 -0.458 -0.298 -0.644 -0.356 -0.390 -0.469 -0.695 -0.103 -0.227 -0.659 749 750 751 752 753 -0.563 -0.426 -0.465 -0.419 -0.640 > !isTRUE( all.equal( residuals( wooldridge, part = "selection", type = "response" ), + residuals( wooldridgeMl, part = "selection", type = "response" ) ) ) [1] TRUE > all.equal( residuals( wooldridgeMl, part = "selection", type = "response" ), + Mroz87$lfp - fitted( wooldridgeMl, part = "selection" ) ) [1] TRUE > all.equal( model.matrix( wooldridge, part = "outcome" )[,-5], + model.matrix( wooldridgeMl, part = "outcome" ), + check.attributes = FALSE ) [1] TRUE > model.matrix( wooldridgeMl, part = "outcome" ) (Intercept) educ exper I(exper^2) 1 1 12 14 196 2 1 12 5 25 3 1 12 15 225 4 1 12 6 36 5 1 14 7 49 6 1 12 33 1089 7 1 16 11 121 8 1 12 35 1225 9 1 12 24 576 10 1 12 21 441 11 1 12 15 225 12 1 11 14 196 13 1 12 0 0 14 1 12 14 196 15 1 10 6 36 16 1 11 9 81 17 1 12 20 400 18 1 12 6 36 19 1 12 23 529 20 1 12 9 81 21 1 16 5 25 22 1 12 11 121 23 1 13 18 324 24 1 12 15 225 25 1 12 4 16 26 1 17 21 441 27 1 12 31 961 28 1 12 9 81 29 1 17 7 49 30 1 12 7 49 31 1 11 32 1024 32 1 16 11 121 33 1 13 16 256 34 1 12 14 196 35 1 16 27 729 36 1 11 0 0 37 1 12 17 289 38 1 10 28 784 39 1 14 24 576 40 1 17 11 121 41 1 12 1 1 42 1 12 14 196 43 1 16 6 36 44 1 12 10 100 45 1 12 6 36 46 1 12 4 16 47 1 16 10 100 48 1 12 22 484 49 1 12 16 256 50 1 12 6 36 51 1 12 12 144 52 1 12 32 1024 53 1 12 15 225 54 1 8 17 289 55 1 10 34 1156 56 1 16 9 81 57 1 14 37 1369 58 1 17 10 100 59 1 14 35 1225 60 1 12 6 36 61 1 14 19 361 62 1 12 10 100 63 1 8 11 121 64 1 12 15 225 65 1 12 12 144 66 1 8 12 144 67 1 17 14 196 68 1 12 11 121 69 1 12 9 81 70 1 12 24 576 71 1 12 12 144 72 1 12 13 169 73 1 9 29 841 74 1 10 11 121 75 1 12 13 169 76 1 12 19 361 77 1 12 2 4 78 1 17 24 576 79 1 15 9 81 80 1 12 6 36 81 1 6 22 484 82 1 14 30 900 83 1 12 10 100 84 1 14 6 36 85 1 9 29 841 86 1 17 29 841 87 1 13 36 1296 88 1 9 19 361 89 1 15 8 64 90 1 12 13 169 91 1 12 16 256 92 1 12 11 121 93 1 12 15 225 94 1 12 6 36 95 1 12 13 169 96 1 12 22 484 97 1 12 24 576 98 1 13 2 4 99 1 12 6 36 100 1 13 2 4 101 1 12 2 4 102 1 12 14 196 103 1 12 9 81 104 1 16 11 121 105 1 12 9 81 106 1 13 6 36 107 1 11 19 361 108 1 12 26 676 109 1 12 19 361 110 1 12 3 9 111 1 17 7 49 112 1 14 28 784 113 1 16 13 169 114 1 17 9 81 115 1 12 15 225 116 1 11 20 400 117 1 12 29 841 118 1 12 9 81 119 1 17 1 1 120 1 10 8 64 121 1 13 19 361 122 1 11 23 529 123 1 12 3 9 124 1 16 13 169 125 1 17 8 64 126 1 12 17 289 127 1 16 4 16 128 1 12 15 225 129 1 16 11 121 130 1 8 7 49 131 1 12 0 0 132 1 12 0 0 133 1 12 10 100 134 1 13 8 64 135 1 11 2 4 136 1 12 4 16 137 1 12 6 36 138 1 14 18 324 139 1 12 3 9 140 1 12 22 484 141 1 12 33 1089 142 1 17 28 784 143 1 14 23 529 144 1 12 27 729 145 1 9 11 121 146 1 12 6 36 147 1 12 11 121 148 1 12 14 196 149 1 14 17 289 150 1 16 17 289 151 1 17 14 196 152 1 15 11 121 153 1 12 7 49 154 1 16 8 64 155 1 17 6 36 156 1 17 8 64 157 1 12 4 16 158 1 16 25 625 159 1 13 24 576 160 1 12 11 121 161 1 11 19 361 162 1 16 9 81 163 1 14 19 361 164 1 16 14 196 165 1 12 22 484 166 1 9 6 36 167 1 17 23 529 168 1 14 15 225 169 1 12 6 36 170 1 12 11 121 171 1 11 2 4 172 1 12 22 484 173 1 12 10 100 174 1 10 14 196 175 1 12 12 144 176 1 5 9 81 177 1 17 13 169 178 1 11 18 324 179 1 12 8 64 180 1 12 11 121 181 1 14 9 81 182 1 11 9 81 183 1 12 14 196 184 1 14 9 81 185 1 12 2 4 186 1 10 12 144 187 1 16 15 225 188 1 13 11 121 189 1 12 7 49 190 1 12 9 81 191 1 12 19 361 192 1 11 11 121 193 1 12 8 64 194 1 9 13 169 195 1 13 4 16 196 1 12 7 49 197 1 12 19 361 198 1 12 14 196 199 1 13 14 196 200 1 16 3 9 201 1 12 9 81 202 1 16 7 49 203 1 17 7 49 204 1 12 14 196 205 1 12 29 841 206 1 9 19 361 207 1 12 14 196 208 1 12 16 256 209 1 13 10 100 210 1 12 12 144 211 1 12 24 576 212 1 12 6 36 213 1 12 9 81 214 1 10 14 196 215 1 12 26 676 216 1 16 7 49 217 1 12 4 16 218 1 11 15 225 219 1 12 23 529 220 1 10 1 1 221 1 12 29 841 222 1 12 9 81 223 1 12 6 36 224 1 12 11 121 225 1 16 17 289 226 1 17 6 36 227 1 12 7 49 228 1 17 2 4 229 1 12 24 576 230 1 12 4 16 231 1 12 11 121 232 1 8 25 625 233 1 12 11 121 234 1 13 2 4 235 1 12 19 361 236 1 12 7 49 237 1 8 2 4 238 1 12 20 400 239 1 17 10 100 240 1 17 19 361 241 1 12 17 289 242 1 13 12 144 243 1 12 11 121 244 1 12 6 36 245 1 12 10 100 246 1 12 4 16 247 1 9 2 4 248 1 10 13 169 249 1 12 21 441 250 1 16 9 81 251 1 13 4 16 252 1 8 2 4 253 1 16 19 361 254 1 13 4 16 255 1 12 9 81 256 1 11 14 196 257 1 13 6 36 258 1 12 24 576 259 1 12 1 1 260 1 10 13 169 261 1 12 3 9 262 1 17 10 100 263 1 15 16 256 264 1 16 9 81 265 1 10 19 361 266 1 11 4 16 267 1 12 10 100 268 1 12 5 25 269 1 14 7 49 270 1 16 3 9 271 1 14 38 1444 272 1 8 16 256 273 1 7 13 169 274 1 12 1 1 275 1 12 7 49 276 1 14 15 225 277 1 12 10 100 278 1 12 2 4 279 1 12 19 361 280 1 14 25 625 281 1 16 25 625 282 1 12 7 49 283 1 12 15 225 284 1 12 11 121 285 1 13 25 625 286 1 13 19 361 287 1 10 4 16 288 1 12 14 196 289 1 12 19 361 290 1 12 18 324 291 1 12 14 196 292 1 14 11 121 293 1 17 4 16 294 1 10 29 841 295 1 9 21 441 296 1 12 24 576 297 1 12 19 361 298 1 16 31 961 299 1 12 28 784 300 1 17 15 225 301 1 12 27 729 302 1 17 13 169 303 1 11 4 16 304 1 16 10 100 305 1 11 8 64 306 1 13 4 16 307 1 11 18 324 308 1 8 3 9 309 1 11 11 121 310 1 12 8 64 311 1 10 10 100 312 1 17 33 1089 313 1 12 19 361 314 1 12 35 1225 315 1 17 21 441 316 1 14 7 49 317 1 12 18 324 318 1 12 4 16 319 1 12 12 144 320 1 12 16 256 321 1 12 14 196 322 1 12 3 9 323 1 9 1 1 324 1 10 27 729 325 1 12 12 144 326 1 12 6 36 327 1 12 9 81 328 1 12 2 4 329 1 12 6 36 330 1 17 9 81 331 1 12 16 256 332 1 17 22 484 333 1 12 26 676 334 1 10 11 121 335 1 12 11 121 336 1 12 15 225 337 1 12 13 169 338 1 12 6 36 339 1 12 20 400 340 1 12 17 289 341 1 16 8 64 342 1 13 13 169 343 1 13 15 225 344 1 12 14 196 345 1 16 14 196 346 1 17 6 36 347 1 12 24 576 348 1 14 10 100 349 1 12 2 4 350 1 17 9 81 351 1 12 23 529 352 1 14 12 144 353 1 12 8 64 354 1 12 16 256 355 1 17 10 100 356 1 16 7 49 357 1 16 19 361 358 1 12 2 4 359 1 9 9 81 360 1 12 14 196 361 1 12 9 81 362 1 16 16 256 363 1 14 7 49 364 1 12 6 36 365 1 12 22 484 366 1 11 9 81 367 1 12 9 81 368 1 16 14 196 369 1 17 17 289 370 1 17 12 144 371 1 14 13 169 372 1 12 8 64 373 1 14 10 100 374 1 12 16 256 375 1 10 1 1 376 1 12 6 36 377 1 13 4 16 378 1 16 8 64 379 1 12 4 16 380 1 7 15 225 381 1 16 7 49 382 1 14 14 196 383 1 12 16 256 384 1 10 15 225 385 1 12 23 529 386 1 16 19 361 387 1 10 4 16 388 1 12 12 144 389 1 14 12 144 390 1 12 25 625 391 1 6 14 196 392 1 15 14 196 393 1 12 11 121 394 1 17 7 49 395 1 14 18 324 396 1 13 4 16 397 1 6 37 1369 398 1 16 13 169 399 1 14 14 196 400 1 15 17 289 401 1 14 5 25 402 1 8 2 4 403 1 14 0 0 404 1 12 3 9 405 1 12 21 441 406 1 12 20 400 407 1 12 19 361 408 1 12 4 16 409 1 12 19 361 410 1 8 11 121 411 1 12 14 196 412 1 17 8 64 413 1 12 13 169 414 1 12 24 576 415 1 14 1 1 416 1 13 1 1 417 1 17 3 9 418 1 8 4 16 419 1 12 21 441 420 1 11 10 100 421 1 12 13 169 422 1 12 9 81 423 1 17 14 196 424 1 10 2 4 425 1 12 21 441 426 1 13 22 484 427 1 12 14 196 428 1 12 7 49 429 NA NA NA NA 430 NA NA NA NA 431 NA NA NA NA 432 NA NA NA NA 433 NA NA NA NA 434 NA NA NA NA 435 NA NA NA NA 436 NA NA NA NA 437 NA NA NA NA 438 NA NA NA NA 439 NA NA NA NA 440 NA NA NA NA 441 NA NA NA NA 442 NA NA NA NA 443 NA NA NA NA 444 NA NA NA NA 445 NA NA NA NA 446 NA NA NA NA 447 NA NA NA NA 448 NA NA NA NA 449 NA NA NA NA 450 NA NA NA NA 451 NA NA NA NA 452 NA NA NA NA 453 NA NA NA NA 454 NA NA NA NA 455 NA NA NA NA 456 NA NA NA NA 457 NA NA NA NA 458 NA NA NA NA 459 NA NA NA NA 460 NA NA NA NA 461 NA NA NA NA 462 NA NA NA NA 463 NA NA NA NA 464 NA NA NA NA 465 NA NA NA NA 466 NA NA NA NA 467 NA NA NA NA 468 NA NA NA NA 469 NA NA NA NA 470 NA NA NA NA 471 NA NA NA NA 472 NA NA NA NA 473 NA NA NA NA 474 NA NA NA NA 475 NA NA NA NA 476 NA NA NA NA 477 NA NA NA NA 478 NA NA NA NA 479 NA NA NA NA 480 NA NA NA NA 481 NA NA NA NA 482 NA NA NA NA 483 NA NA NA NA 484 NA NA NA NA 485 NA NA NA NA 486 NA NA NA NA 487 NA NA NA NA 488 NA NA NA NA 489 NA NA NA NA 490 NA NA NA NA 491 NA NA NA NA 492 NA NA NA NA 493 NA NA NA NA 494 NA NA NA NA 495 NA NA NA NA 496 NA NA NA NA 497 NA NA NA NA 498 NA NA NA NA 499 NA NA NA NA 500 NA NA NA NA 501 NA NA NA NA 502 NA NA NA NA 503 NA NA NA NA 504 NA NA NA NA 505 NA NA NA NA 506 NA NA NA NA 507 NA NA NA NA 508 NA NA NA NA 509 NA NA NA NA 510 NA NA NA NA 511 NA NA NA NA 512 NA NA NA NA 513 NA NA NA NA 514 NA NA NA NA 515 NA NA NA NA 516 NA NA NA NA 517 NA NA NA NA 518 NA NA NA NA 519 NA NA NA NA 520 NA NA NA NA 521 NA NA NA NA 522 NA NA NA NA 523 NA NA NA NA 524 NA NA NA NA 525 NA NA NA NA 526 NA NA NA NA 527 NA NA NA NA 528 NA NA NA NA 529 NA NA NA NA 530 NA NA NA NA 531 NA NA NA NA 532 NA NA NA NA 533 NA NA NA NA 534 NA NA NA NA 535 NA NA NA NA 536 NA NA NA NA 537 NA NA NA NA 538 NA NA NA NA 539 NA NA NA NA 540 NA NA NA NA 541 NA NA NA NA 542 NA NA NA NA 543 NA NA NA NA 544 NA NA NA NA 545 NA NA NA NA 546 NA NA NA NA 547 NA NA NA NA 548 NA NA NA NA 549 NA NA NA NA 550 NA NA NA NA 551 NA NA NA NA 552 NA NA NA NA 553 NA NA NA NA 554 NA NA NA NA 555 NA NA NA NA 556 NA NA NA NA 557 NA NA NA NA 558 NA NA NA NA 559 NA NA NA NA 560 NA NA NA NA 561 NA NA NA NA 562 NA NA NA NA 563 NA NA NA NA 564 NA NA NA NA 565 NA NA NA NA 566 NA NA NA NA 567 NA NA NA NA 568 NA NA NA NA 569 NA NA NA NA 570 NA NA NA NA 571 NA NA NA NA 572 NA NA NA NA 573 NA NA NA NA 574 NA NA NA NA 575 NA NA NA NA 576 NA NA NA NA 577 NA NA NA NA 578 NA NA NA NA 579 NA NA NA NA 580 NA NA NA NA 581 NA NA NA NA 582 NA NA NA NA 583 NA NA NA NA 584 NA NA NA NA 585 NA NA NA NA 586 NA NA NA NA 587 NA NA NA NA 588 NA NA NA NA 589 NA NA NA NA 590 NA NA NA NA 591 NA NA NA NA 592 NA NA NA NA 593 NA NA NA NA 594 NA NA NA NA 595 NA NA NA NA 596 NA NA NA NA 597 NA NA NA NA 598 NA NA NA NA 599 NA NA NA NA 600 NA NA NA NA 601 NA NA NA NA 602 NA NA NA NA 603 NA NA NA NA 604 NA NA NA NA 605 NA NA NA NA 606 NA NA NA NA 607 NA NA NA NA 608 NA NA NA NA 609 NA NA NA NA 610 NA NA NA NA 611 NA NA NA NA 612 NA NA NA NA 613 NA NA NA NA 614 NA NA NA NA 615 NA NA NA NA 616 NA NA NA NA 617 NA NA NA NA 618 NA NA NA NA 619 NA NA NA NA 620 NA NA NA NA 621 NA NA NA NA 622 NA NA NA NA 623 NA NA NA NA 624 NA NA NA NA 625 NA NA NA NA 626 NA NA NA NA 627 NA NA NA NA 628 NA NA NA NA 629 NA NA NA NA 630 NA NA NA NA 631 NA NA NA NA 632 NA NA NA NA 633 NA NA NA NA 634 NA NA NA NA 635 NA NA NA NA 636 NA NA NA NA 637 NA NA NA NA 638 NA NA NA NA 639 NA NA NA NA 640 NA NA NA NA 641 NA NA NA NA 642 NA NA NA NA 643 NA NA NA NA 644 NA NA NA NA 645 NA NA NA NA 646 NA NA NA NA 647 NA NA NA NA 648 NA NA NA NA 649 NA NA NA NA 650 NA NA NA NA 651 NA NA NA NA 652 NA NA NA NA 653 NA NA NA NA 654 NA NA NA NA 655 NA NA NA NA 656 NA NA NA NA 657 NA NA NA NA 658 NA NA NA NA 659 NA NA NA NA 660 NA NA NA NA 661 NA NA NA NA 662 NA NA NA NA 663 NA NA NA NA 664 NA NA NA NA 665 NA NA NA NA 666 NA NA NA NA 667 NA NA NA NA 668 NA NA NA NA 669 NA NA NA NA 670 NA NA NA NA 671 NA NA NA NA 672 NA NA NA NA 673 NA NA NA NA 674 NA NA NA NA 675 NA NA NA NA 676 NA NA NA NA 677 NA NA NA NA 678 NA NA NA NA 679 NA NA NA NA 680 NA NA NA NA 681 NA NA NA NA 682 NA NA NA NA 683 NA NA NA NA 684 NA NA NA NA 685 NA NA NA NA 686 NA NA NA NA 687 NA NA NA NA 688 NA NA NA NA 689 NA NA NA NA 690 NA NA NA NA 691 NA NA NA NA 692 NA NA NA NA 693 NA NA NA NA 694 NA NA NA NA 695 NA NA NA NA 696 NA NA NA NA 697 NA NA NA NA 698 NA NA NA NA 699 NA NA NA NA 700 NA NA NA NA 701 NA NA NA NA 702 NA NA NA NA 703 NA NA NA NA 704 NA NA NA NA 705 NA NA NA NA 706 NA NA NA NA 707 NA NA NA NA 708 NA NA NA NA 709 NA NA NA NA 710 NA NA NA NA 711 NA NA NA NA 712 NA NA NA NA 713 NA NA NA NA 714 NA NA NA NA 715 NA NA NA NA 716 NA NA NA NA 717 NA NA NA NA 718 NA NA NA NA 719 NA NA NA NA 720 NA NA NA NA 721 NA NA NA NA 722 NA NA NA NA 723 NA NA NA NA 724 NA NA NA NA 725 NA NA NA NA 726 NA NA NA NA 727 NA NA NA NA 728 NA NA NA NA 729 NA NA NA NA 730 NA NA NA NA 731 NA NA NA NA 732 NA NA NA NA 733 NA NA NA NA 734 NA NA NA NA 735 NA NA NA NA 736 NA NA NA NA 737 NA NA NA NA 738 NA NA NA NA 739 NA NA NA NA 740 NA NA NA NA 741 NA NA NA NA 742 NA NA NA NA 743 NA NA NA NA 744 NA NA NA NA 745 NA NA NA NA 746 NA NA NA NA 747 NA NA NA NA 748 NA NA NA NA 749 NA NA NA NA 750 NA NA NA NA 751 NA NA NA NA 752 NA NA NA NA 753 NA NA NA NA attr(,"assign") [1] 0 1 2 3 > all.equal( model.matrix( wooldridge, part = "selection" ), + model.matrix( wooldridgeMl, part = "selection" ), + check.attributes = FALSE ) [1] TRUE > model.matrix( wooldridgeMl, part = "selection" ) (Intercept) nwifeinc educ exper I(exper^2) age kids5 kids618 1 1 10.9101 12 14 196 32 1 0 2 1 19.5000 12 5 25 30 0 2 3 1 12.0399 12 15 225 35 1 3 4 1 6.8000 12 6 36 34 0 3 5 1 20.1001 14 7 49 31 1 2 6 1 9.8591 12 33 1089 54 0 0 7 1 9.1520 16 11 121 37 0 2 8 1 10.9000 12 35 1225 54 0 0 9 1 17.3050 12 24 576 48 0 2 10 1 12.9250 12 21 441 39 0 2 11 1 24.3000 12 15 225 33 0 1 12 1 19.7001 11 14 196 42 0 1 13 1 15.0000 12 0 0 30 1 2 14 1 14.6000 12 14 196 43 0 2 15 1 24.6309 10 6 36 43 0 1 16 1 17.5310 11 9 81 35 0 3 17 1 14.1000 12 20 400 43 0 2 18 1 15.8390 12 6 36 39 0 5 19 1 14.1000 12 23 529 45 0 0 20 1 10.3000 12 9 81 35 0 4 21 1 22.6550 16 5 25 42 0 2 22 1 8.0900 12 11 121 30 0 0 23 1 17.4790 13 18 324 48 0 0 24 1 9.5600 12 15 225 45 0 0 25 1 8.2750 12 4 16 31 1 1 26 1 27.3500 17 21 441 43 0 2 27 1 16.0000 12 31 961 59 0 0 28 1 17.0000 12 9 81 32 0 3 29 1 15.1001 17 7 49 31 1 0 30 1 15.7000 12 7 49 42 0 0 31 1 5.1190 11 32 1024 50 0 0 32 1 16.7500 16 11 121 59 0 0 33 1 13.5999 13 16 256 36 0 2 34 1 17.1000 12 14 196 51 0 1 35 1 16.7340 16 27 729 45 0 3 36 1 14.1970 11 0 0 42 0 1 37 1 10.3200 12 17 289 46 0 0 38 1 11.3841 10 28 784 46 0 1 39 1 14.5941 14 24 576 51 0 0 40 1 17.5004 17 11 121 30 0 0 41 1 15.5100 12 1 1 30 1 2 42 1 22.0000 12 14 196 57 0 0 43 1 22.5000 16 6 36 31 1 2 44 1 19.9940 12 10 100 48 0 2 45 1 14.1300 12 6 36 30 0 3 46 1 5.0000 12 4 16 34 0 2 47 1 21.1549 16 10 100 48 0 2 48 1 7.1419 12 22 484 45 0 0 49 1 16.6501 12 16 256 51 0 0 50 1 6.3520 12 6 36 30 0 2 51 1 27.3139 12 12 144 46 0 1 52 1 14.5000 12 32 1024 58 0 0 53 1 16.2580 12 15 225 37 0 8 54 1 9.5000 8 17 289 52 0 0 55 1 8.0000 10 34 1156 52 0 0 56 1 12.5000 16 9 81 31 0 0 57 1 14.0000 14 37 1369 55 0 0 58 1 20.8001 17 10 100 34 0 0 59 1 19.3851 14 35 1225 55 0 0 60 1 12.3870 12 6 36 39 0 2 61 1 28.5000 14 19 361 40 0 3 62 1 15.0499 12 10 100 43 0 4 63 1 10.5000 8 11 121 48 0 0 64 1 11.8100 12 15 225 47 0 0 65 1 6.9501 12 12 144 41 0 4 66 1 12.4200 8 12 144 36 0 0 67 1 17.4000 17 14 196 46 0 2 68 1 15.5000 12 11 121 34 0 0 69 1 21.2170 12 9 81 41 0 3 70 1 18.0000 12 24 576 51 0 1 71 1 11.8999 12 12 144 33 0 0 72 1 26.7520 12 13 169 52 0 0 73 1 12.1500 9 29 841 58 0 0 74 1 10.2000 10 11 121 34 2 4 75 1 8.1200 12 13 169 31 0 1 76 1 10.6600 12 19 361 48 0 1 77 1 18.1000 12 2 4 32 0 2 78 1 8.6000 17 24 576 49 0 0 79 1 13.6650 15 9 81 32 2 2 80 1 32.3500 12 6 36 58 0 0 81 1 12.0850 6 22 484 50 0 0 82 1 12.1500 14 30 900 60 0 0 83 1 17.6950 12 10 100 50 0 1 84 1 24.7000 14 6 36 56 0 0 85 1 2.1340 9 29 841 51 0 0 86 1 20.9500 17 29 841 54 0 1 87 1 10.5001 13 36 1296 59 0 0 88 1 10.5500 9 19 361 46 0 2 89 1 45.7500 15 8 64 46 0 1 90 1 13.6320 12 13 169 39 1 3 91 1 18.2389 12 16 256 44 0 2 92 1 17.0900 12 11 121 33 2 0 93 1 30.2349 12 15 225 33 1 2 94 1 28.7000 12 6 36 48 0 2 95 1 19.6300 12 13 169 31 0 4 96 1 12.8249 12 22 484 45 0 1 97 1 23.8000 12 24 576 45 0 1 98 1 26.3000 13 2 4 32 0 2 99 1 20.6999 12 6 36 47 0 0 100 1 26.0000 13 2 4 34 0 2 101 1 10.8770 12 2 4 37 0 1 102 1 25.6121 12 14 196 36 0 1 103 1 20.9890 12 9 81 47 1 2 104 1 70.7499 16 11 121 48 0 1 105 1 17.0500 12 9 81 42 0 2 106 1 21.0000 13 6 36 33 0 3 107 1 8.1200 11 19 361 46 0 0 108 1 20.8860 12 26 676 47 0 3 109 1 17.6689 12 19 361 44 0 1 110 1 25.2000 12 3 9 36 0 4 111 1 14.2450 17 7 49 31 2 0 112 1 14.3000 14 28 784 55 0 0 113 1 23.7000 16 13 169 45 0 1 114 1 46.0000 17 9 81 47 0 0 115 1 42.9999 12 15 225 46 0 3 116 1 14.7490 11 20 400 49 0 0 117 1 16.1501 12 29 841 49 0 0 118 1 17.7740 12 9 81 45 0 2 119 1 91.0000 17 1 1 38 1 3 120 1 22.2999 10 8 64 47 0 0 121 1 34.6000 13 19 361 54 0 3 122 1 9.6200 11 23 529 41 0 0 123 1 10.8999 12 3 9 43 0 2 124 1 14.4999 16 13 169 31 1 1 125 1 22.0000 17 8 64 47 0 0 126 1 17.9001 12 17 289 35 0 2 127 1 23.6751 16 4 16 45 0 3 128 1 11.8000 12 15 225 33 1 0 129 1 16.1420 16 11 121 54 0 1 130 1 18.4000 8 7 49 35 0 4 131 1 15.4999 12 0 0 31 1 2 132 1 17.3240 12 0 0 55 0 0 133 1 19.2050 12 10 100 34 0 2 134 1 21.3001 13 8 64 38 0 1 135 1 23.5600 11 2 4 45 0 1 136 1 20.8500 12 4 16 47 0 1 137 1 26.1500 12 6 36 39 0 2 138 1 17.0000 14 18 324 36 1 0 139 1 20.7200 12 3 9 33 1 2 140 1 17.0001 12 22 484 50 0 0 141 1 16.0000 12 33 1089 58 0 0 142 1 19.5000 17 28 784 49 0 0 143 1 12.0000 14 23 529 41 0 2 144 1 13.7319 12 27 729 51 0 1 145 1 27.2000 9 11 121 53 0 0 146 1 5.3150 12 6 36 36 1 2 147 1 16.0000 12 11 121 46 0 2 148 1 27.8720 12 14 196 36 0 2 149 1 40.0000 14 17 289 53 0 1 150 1 15.9000 16 17 289 40 0 3 151 1 27.5000 17 14 196 42 0 2 152 1 17.0201 15 11 121 33 1 1 153 1 22.3949 12 7 49 43 0 3 154 1 11.1000 16 8 64 31 1 0 155 1 32.7000 17 6 36 47 0 0 156 1 27.8000 17 8 64 54 0 0 157 1 2.2000 12 4 16 33 1 3 158 1 19.7210 16 25 625 43 0 0 159 1 10.0000 13 24 576 46 0 1 160 1 13.2000 12 11 121 35 0 3 161 1 12.7090 11 19 361 37 0 3 162 1 27.3000 16 9 81 37 0 2 163 1 21.2000 14 19 361 34 0 3 164 1 14.4000 16 14 196 43 1 0 165 1 20.5760 12 22 484 46 0 0 166 1 12.5000 9 6 36 35 0 3 167 1 17.5002 17 23 529 46 0 0 168 1 44.0000 14 15 225 46 0 0 169 1 13.1190 12 6 36 43 0 2 170 1 14.0001 12 11 121 30 0 0 171 1 9.6451 11 2 4 41 0 2 172 1 17.3970 12 22 484 54 0 1 173 1 7.7999 12 10 100 31 0 1 174 1 13.1340 10 14 196 44 0 0 175 1 25.6000 12 12 144 32 0 1 176 1 13.9000 5 9 81 47 0 0 177 1 19.2979 17 13 169 46 0 1 178 1 9.2000 11 18 324 37 0 0 179 1 38.0000 12 8 64 51 0 2 180 1 44.0000 12 11 121 49 0 1 181 1 21.3720 14 9 81 36 0 4 182 1 23.6680 11 9 81 39 0 1 183 1 9.0000 12 14 196 48 0 2 184 1 25.2000 14 9 81 38 0 2 185 1 21.2200 12 2 4 40 0 2 186 1 33.9699 10 12 144 39 1 5 187 1 17.0700 16 15 225 37 0 0 188 1 6.0160 13 11 121 49 0 1 189 1 17.1000 12 7 49 33 0 3 190 1 8.2370 12 9 81 30 0 0 191 1 13.3001 12 19 361 54 0 0 192 1 16.0000 11 11 121 39 0 4 193 1 12.5400 12 8 64 43 0 3 194 1 18.0000 9 13 169 31 0 3 195 1 31.2000 13 4 16 33 0 3 196 1 20.7499 12 7 49 40 0 3 197 1 11.0999 12 19 361 36 0 1 198 1 20.6800 12 14 196 51 0 0 199 1 18.0000 13 14 196 44 0 1 200 1 32.4301 16 3 9 42 0 3 201 1 32.9000 12 9 81 40 0 1 202 1 24.1000 16 7 49 34 1 1 203 1 17.8004 17 7 49 30 0 0 204 1 20.5000 12 14 196 54 0 0 205 1 10.4999 12 29 841 51 0 0 206 1 10.4370 9 19 361 44 0 2 207 1 18.1950 12 14 196 43 0 1 208 1 12.8451 12 16 256 34 0 1 209 1 13.8000 13 10 100 45 0 0 210 1 22.2000 12 12 144 39 0 0 211 1 6.6999 12 24 576 50 0 0 212 1 6.2500 12 6 36 52 0 0 213 1 15.6000 12 9 81 41 0 2 214 1 3.3000 10 14 196 59 0 0 215 1 3.6710 12 26 676 52 0 0 216 1 7.7900 16 7 49 46 0 0 217 1 18.2720 12 4 16 41 1 5 218 1 10.9540 11 15 225 33 0 2 219 1 13.5000 12 23 529 45 0 0 220 1 11.2000 10 1 1 36 1 2 221 1 20.9999 12 29 841 48 0 1 222 1 25.7000 12 9 81 47 0 1 223 1 8.9330 12 6 36 45 0 0 224 1 19.1600 12 11 121 37 0 2 225 1 26.5900 16 17 289 46 0 4 226 1 22.4000 17 6 36 43 0 3 227 1 20.6330 12 7 49 42 0 2 228 1 28.2000 17 2 4 34 1 2 229 1 28.8000 12 24 576 52 0 0 230 1 9.0000 12 4 16 37 0 3 231 1 11.3999 12 11 121 37 0 1 232 1 10.4000 8 25 625 52 0 0 233 1 19.0801 12 11 121 30 1 0 234 1 9.4660 13 2 4 31 0 1 235 1 6.5001 12 19 361 38 0 1 236 1 29.1170 12 7 49 43 0 3 237 1 19.1030 8 2 4 49 0 1 238 1 16.3500 12 20 400 55 0 0 239 1 32.0250 17 10 100 38 0 2 240 1 16.7001 17 19 361 52 0 0 241 1 4.8110 12 17 289 48 0 0 242 1 24.6260 13 12 144 32 0 2 243 1 17.4000 12 11 121 32 0 1 244 1 13.0250 12 6 36 38 0 2 245 1 19.0070 12 10 100 46 0 3 246 1 14.0300 12 4 16 40 0 3 247 1 14.8999 9 2 4 31 0 4 248 1 25.0001 10 13 169 43 0 1 249 1 10.7001 12 21 441 51 0 0 250 1 24.2500 16 9 81 30 1 0 251 1 39.1400 13 4 16 52 0 0 252 1 7.2000 8 2 4 30 1 5 253 1 31.8110 16 19 361 51 0 0 254 1 10.0000 13 4 16 31 0 2 255 1 20.6600 12 9 81 34 0 4 256 1 13.5000 11 14 196 49 0 0 257 1 25.3800 13 6 36 35 1 3 258 1 18.2750 12 24 576 53 1 0 259 1 39.2130 12 1 1 32 0 3 260 1 10.4999 10 13 169 38 0 3 261 1 34.8570 12 3 9 54 0 0 262 1 28.5020 17 10 100 47 0 1 263 1 13.0000 15 16 256 45 0 1 264 1 41.3999 16 9 81 47 0 1 265 1 14.7800 10 19 361 59 0 0 266 1 15.0500 11 4 16 32 0 1 267 1 29.7000 12 10 100 45 0 1 268 1 16.1650 12 5 25 40 0 4 269 1 25.2052 14 7 49 47 0 2 270 1 14.2000 16 3 9 36 1 2 271 1 18.1590 14 38 1444 56 0 0 272 1 28.9811 8 16 256 41 0 1 273 1 13.3920 7 13 169 48 0 3 274 1 9.1750 12 1 1 36 1 2 275 1 27.0398 12 7 49 41 0 0 276 1 13.1500 14 15 225 41 0 0 277 1 16.4001 12 10 100 36 0 3 278 1 21.3000 12 2 4 37 0 3 279 1 17.2010 12 19 361 38 0 0 280 1 8.5600 14 25 625 43 0 2 281 1 6.4908 16 25 625 54 0 0 282 1 12.5000 12 7 49 38 0 1 283 1 27.0000 12 15 225 30 1 0 284 1 53.5000 12 11 121 49 0 0 285 1 52.4999 13 25 625 45 0 1 286 1 38.4000 13 19 361 51 0 0 287 1 13.8919 10 4 16 34 0 0 288 1 3.9000 12 14 196 34 0 2 289 1 34.2000 12 19 361 41 0 1 290 1 19.7001 12 18 324 49 0 1 291 1 18.5000 12 14 196 32 0 0 292 1 11.0000 14 11 121 32 0 0 293 1 43.3000 17 4 16 32 0 2 294 1 18.7600 10 29 841 47 0 0 295 1 4.8001 9 21 441 39 0 1 296 1 21.5000 12 24 576 49 0 0 297 1 28.0399 12 19 361 37 0 3 298 1 26.0000 16 31 961 59 0 0 299 1 27.0000 12 28 784 50 0 0 300 1 17.7997 17 15 225 32 0 1 301 1 17.4019 12 27 729 46 0 0 302 1 19.3100 17 13 169 43 0 2 303 1 10.0000 11 4 16 37 0 3 304 1 11.1800 16 10 100 32 0 2 305 1 18.8570 11 8 64 39 0 1 306 1 12.3000 13 4 16 34 0 2 307 1 13.6771 11 18 324 39 0 1 308 1 9.5600 8 3 9 45 0 3 309 1 24.5000 11 11 121 50 0 0 310 1 23.1500 12 8 64 40 0 1 311 1 15.5909 10 10 100 30 0 1 312 1 14.4209 17 33 1089 57 0 0 313 1 17.4549 12 19 361 39 0 1 314 1 9.8000 12 35 1225 53 0 0 315 1 17.5745 17 21 441 48 0 1 316 1 16.5550 14 7 49 46 0 1 317 1 13.2950 12 18 324 47 0 0 318 1 11.8440 12 4 16 43 0 1 319 1 46.6451 12 12 144 47 0 0 320 1 14.7000 12 16 256 47 0 1 321 1 26.0901 12 14 196 47 0 0 322 1 9.9000 12 3 9 46 0 0 323 1 9.0480 9 1 1 34 0 4 324 1 30.7501 10 27 729 48 0 0 325 1 8.4999 12 12 144 30 0 1 326 1 22.2500 12 6 36 51 0 1 327 1 42.9100 12 9 81 52 0 5 328 1 33.3000 12 2 4 37 0 2 329 1 13.8199 12 6 36 32 0 2 330 1 23.6000 17 9 81 36 0 2 331 1 13.0001 12 16 256 35 0 2 332 1 20.7499 17 22 484 45 0 0 333 1 6.3000 12 26 676 56 0 0 334 1 7.7889 10 11 121 40 0 2 335 1 10.4700 12 11 121 45 1 2 336 1 12.0000 12 15 225 32 0 2 337 1 16.9799 12 13 169 45 0 0 338 1 17.9000 12 6 36 40 0 2 339 1 15.5399 12 20 400 38 0 1 340 1 9.8840 12 17 289 49 0 4 341 1 28.6000 16 8 64 47 0 1 342 1 17.6600 13 13 169 52 0 0 343 1 25.9999 13 15 225 34 0 1 344 1 13.6020 12 14 196 44 0 2 345 1 15.8000 16 14 196 36 0 3 346 1 41.1000 17 6 36 50 0 0 347 1 10.7750 12 24 576 45 0 0 348 1 9.0000 14 10 100 44 0 2 349 1 24.3990 12 2 4 57 0 2 350 1 37.3001 17 9 81 35 0 0 351 1 27.9999 12 23 529 46 0 0 352 1 13.7000 14 12 144 30 2 1 353 1 17.2099 12 8 64 42 0 3 354 1 14.0000 12 16 256 34 0 1 355 1 35.7550 17 10 100 45 0 2 356 1 23.5000 16 7 49 35 1 2 357 1 31.9999 16 19 361 40 0 0 358 1 17.1500 12 2 4 32 0 1 359 1 20.2500 9 9 81 54 0 0 360 1 5.4860 12 14 196 38 0 3 361 1 25.0750 12 9 81 43 0 3 362 1 18.2200 16 16 256 54 0 0 363 1 26.0000 14 7 49 39 0 3 364 1 34.5001 12 6 36 37 0 1 365 1 12.4000 12 22 484 46 0 2 366 1 10.7868 11 9 81 56 0 0 367 1 16.3230 12 9 81 41 0 3 368 1 30.5000 16 14 196 45 0 1 369 1 51.2996 17 17 289 44 0 1 370 1 33.0500 17 12 144 50 0 1 371 1 34.7500 14 13 169 37 0 5 372 1 16.4000 12 8 64 44 0 1 373 1 19.7001 14 10 100 32 0 2 374 1 6.6000 12 16 256 34 1 1 375 1 9.0200 10 1 1 32 0 2 376 1 10.4000 12 6 36 37 0 3 377 1 14.5200 13 4 16 44 0 1 378 1 17.2000 16 8 64 34 0 2 379 1 43.0000 12 4 16 33 1 3 380 1 13.8720 7 15 225 43 0 3 381 1 -0.0291 16 7 49 35 0 2 382 1 16.7699 14 14 196 43 0 1 383 1 7.8000 12 16 256 34 0 0 384 1 14.5001 10 15 225 36 0 3 385 1 7.9000 12 23 529 41 0 2 386 1 79.8000 16 19 361 41 0 0 387 1 7.1760 10 4 16 35 0 3 388 1 17.5070 12 12 144 32 1 3 389 1 20.6000 14 12 144 30 0 0 390 1 18.5599 12 25 625 43 0 0 391 1 9.3000 6 14 196 54 0 0 392 1 5.1200 15 14 196 35 0 2 393 1 14.5000 12 11 121 50 0 0 394 1 19.8000 17 7 49 34 1 1 395 1 18.2999 14 18 324 52 0 0 396 1 33.9999 13 4 16 35 0 3 397 1 11.6279 6 37 1369 55 0 0 398 1 11.8000 16 13 169 35 0 0 399 1 39.1000 14 14 196 49 0 1 400 1 18.4301 15 17 289 38 2 2 401 1 21.0000 14 5 25 42 0 2 402 1 59.0000 8 2 4 48 0 1 403 1 25.3000 14 0 0 51 0 0 404 1 23.2490 12 3 9 43 0 2 405 1 24.9281 12 21 441 43 0 1 406 1 14.7820 12 20 400 38 0 1 407 1 18.9000 12 19 361 44 0 1 408 1 21.0000 12 4 16 36 1 3 409 1 10.0000 12 19 361 38 0 0 410 1 29.3100 8 11 121 47 0 0 411 1 13.1400 12 14 196 34 0 2 412 1 25.0900 17 8 64 40 1 2 413 1 14.5999 12 13 169 31 0 1 414 1 1.2000 12 24 576 46 0 0 415 1 32.0000 14 1 1 36 0 3 416 1 16.1200 13 1 1 39 1 2 417 1 26.5000 17 3 9 36 0 2 418 1 12.7501 8 4 16 37 0 4 419 1 12.9000 12 21 441 39 0 4 420 1 10.7000 11 10 100 36 1 3 421 1 14.4340 12 13 169 49 0 2 422 1 23.7090 12 9 81 45 1 1 423 1 15.1000 17 14 196 32 2 0 424 1 18.2000 10 2 4 36 0 5 425 1 22.6411 12 21 441 40 0 1 426 1 21.6401 13 22 484 43 0 2 427 1 24.0000 12 14 196 33 0 1 428 1 16.0000 12 7 49 30 0 1 429 1 21.0250 12 2 4 49 0 1 430 1 23.6000 16 5 25 30 2 0 431 1 22.8000 12 12 144 30 1 0 432 1 35.9100 12 1 1 41 0 4 433 1 21.7000 12 12 144 45 0 1 434 1 21.8230 12 4 16 43 0 5 435 1 31.0000 13 9 81 42 0 1 436 1 15.3000 12 9 81 60 0 0 437 1 12.9250 12 6 36 57 0 0 438 1 15.8300 10 5 25 38 0 2 439 1 30.2000 12 5 25 56 0 0 440 1 16.6000 12 8 64 32 0 3 441 1 11.0000 7 2 4 49 0 1 442 1 15.0000 12 6 36 55 0 0 443 1 20.5280 9 0 0 36 1 1 444 1 13.1260 12 3 9 44 0 3 445 1 15.5500 10 7 49 44 0 1 446 1 18.0100 14 3 9 35 1 2 447 1 18.8740 14 10 100 44 2 3 448 1 24.8000 12 3 9 45 0 1 449 1 17.5000 12 2 4 34 1 0 450 1 16.1500 17 12 144 30 2 0 451 1 15.1890 8 15 225 39 0 1 452 1 6.0000 12 5 25 36 0 2 453 1 37.2500 17 4 16 38 0 2 454 1 27.7600 12 10 100 53 0 0 455 1 9.0900 12 1 1 36 0 2 456 1 14.5000 12 8 64 32 1 1 457 1 19.7000 9 20 400 51 0 3 458 1 16.7880 11 4 16 38 0 0 459 1 18.5200 12 7 49 33 2 0 460 1 20.9500 12 10 100 54 0 0 461 1 7.5740 9 3 9 38 0 3 462 1 10.0270 11 5 25 30 2 2 463 1 5.0000 12 10 100 34 2 3 464 1 7.0400 9 0 0 34 0 1 465 1 40.8000 12 3 9 50 0 2 466 1 16.0500 17 10 100 30 2 0 467 1 33.1000 12 2 4 38 0 2 468 1 33.8560 14 10 100 54 0 0 469 1 20.5000 12 4 16 30 1 2 470 1 28.6000 12 0 0 55 0 0 471 1 18.7500 10 10 100 51 0 1 472 1 20.3000 12 5 25 44 0 1 473 1 13.4200 12 0 0 53 0 0 474 1 18.4000 10 0 0 42 0 2 475 1 16.6820 12 19 361 38 0 2 476 1 32.6850 13 2 4 38 1 3 477 1 7.0500 12 12 144 41 1 4 478 1 10.8670 8 5 25 35 0 3 479 1 18.2200 12 5 25 33 1 2 480 1 26.6130 13 5 25 48 0 0 481 1 25.0000 12 10 100 47 0 0 482 1 15.7000 12 0 0 34 0 5 483 1 40.2500 13 4 16 33 2 1 484 1 73.6000 13 3 9 31 3 1 485 1 10.5920 8 2 4 58 0 0 486 1 8.0000 12 1 1 49 0 0 487 1 13.4000 8 0 0 55 0 1 488 1 23.7000 14 1 1 44 0 0 489 1 18.9000 9 1 1 44 0 0 490 1 48.3000 16 6 36 36 0 3 491 1 24.4700 12 12 144 38 0 3 492 1 28.6300 16 6 36 37 0 3 493 1 25.3200 12 9 81 47 0 0 494 1 13.5300 12 14 196 47 0 3 495 1 14.8000 12 13 169 32 1 1 496 1 17.4000 12 8 64 43 1 2 497 1 15.9800 11 0 0 42 1 4 498 1 16.5760 12 1 1 56 0 0 499 1 21.8500 13 3 9 38 0 5 500 1 14.6000 12 13 169 52 0 2 501 1 21.6000 12 3 9 50 0 0 502 1 24.0000 16 8 64 33 0 0 503 1 20.8830 16 8 64 44 0 2 504 1 19.5000 12 18 324 41 0 1 505 1 42.8000 12 2 4 45 0 1 506 1 41.5000 14 3 9 53 0 0 507 1 18.9650 14 5 25 53 0 0 508 1 16.1000 12 2 4 42 0 1 509 1 14.7000 13 10 100 32 2 0 510 1 18.8000 12 30 900 56 0 0 511 1 14.7500 11 1 1 37 1 3 512 1 21.0000 12 5 25 40 1 2 513 1 35.4000 15 8 64 54 0 3 514 1 10.7000 7 0 0 53 0 0 515 1 24.5000 12 4 16 48 0 1 516 1 17.0450 12 2 4 36 1 2 517 1 18.8000 12 30 900 57 0 0 518 1 14.0000 12 25 625 51 0 0 519 1 18.2140 13 3 9 33 0 4 520 1 20.1770 12 20 400 52 0 0 521 1 8.3000 10 20 400 56 0 0 522 1 14.2000 12 0 0 36 1 2 523 1 21.7680 14 15 225 36 1 0 524 1 29.5530 12 10 100 46 0 1 525 1 4.3500 10 4 16 31 0 3 526 1 24.0000 11 3 9 52 0 0 527 1 18.3000 12 10 100 46 0 2 528 1 17.2000 12 9 81 35 2 0 529 1 16.4760 12 7 49 59 0 0 530 1 13.4000 8 12 144 36 0 1 531 1 44.9880 7 0 0 51 1 3 532 1 18.2000 16 16 256 31 1 0 533 1 28.0000 14 4 16 31 0 2 534 1 11.5500 12 7 49 32 1 1 535 1 28.4500 16 7 49 35 1 2 536 1 15.0960 12 14 196 40 0 3 537 1 8.0090 10 2 4 33 1 2 538 1 10.0400 7 20 400 54 0 0 539 1 16.7000 12 5 25 36 1 1 540 1 8.4000 10 10 100 50 0 1 541 1 13.0000 8 20 400 54 0 0 542 1 17.9700 11 10 100 48 0 1 543 1 18.4500 15 8 64 41 0 4 544 1 31.0000 12 11 121 50 0 4 545 1 24.1350 12 3 9 46 0 2 546 1 31.7000 13 6 36 42 0 1 547 1 10.1900 9 4 16 31 1 2 548 1 21.5740 12 4 16 53 0 0 549 1 26.6800 12 9 81 51 0 1 550 1 17.7000 12 10 100 47 0 1 551 1 29.4000 12 3 9 50 0 1 552 1 22.1590 6 2 4 37 0 1 553 1 35.0000 12 2 4 30 2 2 554 1 8.6300 12 0 0 49 0 0 555 1 17.0800 12 8 64 52 0 2 556 1 32.5000 12 6 36 47 0 2 557 1 16.0000 12 15 225 49 0 0 558 1 18.8500 12 15 225 44 0 4 559 1 17.5000 8 9 81 53 0 0 560 1 19.3920 12 8 64 30 1 0 561 1 14.4500 12 18 324 54 0 2 562 1 21.8000 7 3 9 47 1 1 563 1 7.7000 15 10 100 56 0 0 564 1 31.8000 12 6 36 49 0 1 565 1 17.2580 6 20 400 48 0 0 566 1 13.3990 12 8 64 49 0 1 567 1 16.0730 12 3 9 56 0 1 568 1 23.2600 12 4 16 46 0 0 569 1 37.3000 12 13 169 45 0 2 570 1 11.0000 12 4 16 32 0 2 571 1 13.0750 12 17 289 43 1 1 572 1 13.7000 12 4 16 34 1 1 573 1 25.1000 12 0 0 30 1 1 574 1 18.6000 17 15 225 38 2 0 575 1 29.0000 16 11 121 33 1 1 576 1 19.2370 12 23 529 52 0 0 577 1 19.8550 11 1 1 43 0 3 578 1 9.4500 12 5 25 33 1 1 579 1 30.0000 10 1 1 45 0 0 580 1 15.0000 10 5 25 36 2 1 581 1 24.7010 12 3 9 34 1 1 582 1 15.9000 14 3 9 37 0 2 583 1 16.2400 10 19 361 46 0 1 584 1 21.1000 12 20 400 47 0 0 585 1 23.0000 16 5 25 31 2 1 586 1 6.3400 5 0 0 57 0 0 587 1 42.2500 12 3 9 30 1 1 588 1 14.6940 12 3 9 30 0 0 589 1 21.4170 12 7 49 44 0 3 590 1 20.2000 13 7 49 53 0 0 591 1 12.0900 8 1 1 51 0 0 592 1 24.7600 12 13 169 39 1 3 593 1 23.0000 8 0 0 52 0 0 594 1 19.3650 8 0 0 46 0 4 595 1 5.5500 12 12 144 47 0 5 596 1 68.0350 8 0 0 52 0 2 597 1 29.3000 12 5 25 45 0 2 598 1 18.5000 11 45 2025 60 0 0 599 1 22.5820 13 10 100 41 0 2 600 1 21.5000 8 2 4 39 0 3 601 1 28.0700 12 3 9 49 0 1 602 1 50.3000 15 1 1 32 1 1 603 1 23.5000 12 5 25 33 1 3 604 1 15.5000 10 10 100 36 0 4 605 1 13.4400 13 4 16 37 3 3 606 1 8.1000 12 7 49 30 1 2 607 1 9.8000 11 9 81 44 1 1 608 1 20.3000 12 5 25 48 0 1 609 1 15.0000 11 4 16 40 0 4 610 1 56.1000 13 11 121 47 0 0 611 1 22.8460 12 9 81 36 0 2 612 1 22.2250 11 4 16 40 0 2 613 1 17.6350 12 2 4 46 0 1 614 1 18.5000 12 23 529 52 0 0 615 1 13.3900 12 3 9 44 0 1 616 1 15.1500 10 15 225 45 0 1 617 1 16.2000 7 8 64 30 2 1 618 1 33.9200 12 3 9 40 1 3 619 1 14.0000 12 25 625 43 0 1 620 1 16.7360 12 2 4 49 0 2 621 1 30.6500 12 0 0 46 1 4 622 1 12.4000 11 19 361 52 0 0 623 1 19.0220 12 3 9 31 1 1 624 1 11.2030 10 7 49 42 1 1 625 1 19.8760 11 1 1 33 0 3 626 1 57.0000 16 9 81 57 0 0 627 1 18.2900 10 3 9 49 0 0 628 1 20.2200 14 8 64 45 0 1 629 1 22.1500 11 0 0 56 0 0 630 1 30.6230 12 5 25 41 1 3 631 1 9.3800 5 20 400 56 0 0 632 1 22.0000 10 3 9 48 0 1 633 1 23.6750 16 12 144 52 0 2 634 1 33.6710 12 5 25 51 0 0 635 1 12.3670 11 1 1 35 0 3 636 1 21.9500 12 0 0 45 0 0 637 1 32.0000 12 7 49 54 0 0 638 1 22.6100 12 13 169 54 0 2 639 1 12.0920 12 3 9 31 1 0 640 1 3.7770 6 0 0 53 0 3 641 1 36.0000 14 2 4 35 2 2 642 1 26.9000 12 0 0 36 1 3 643 1 32.2420 12 2 4 59 0 0 644 1 35.0200 16 1 1 54 0 0 645 1 37.6000 12 10 100 37 1 1 646 1 1.5000 12 10 100 44 0 0 647 1 96.0000 17 1 1 34 1 2 648 1 18.1500 12 3 9 49 0 0 649 1 15.5000 12 32 1024 49 0 0 650 1 14.0000 9 0 0 60 0 0 651 1 14.7560 12 7 49 51 0 0 652 1 22.0000 12 5 25 30 1 1 653 1 24.4660 12 2 4 47 0 2 654 1 24.4000 12 5 25 36 0 4 655 1 24.0000 12 3 9 35 1 3 656 1 15.5000 12 25 625 58 0 0 657 1 30.8000 14 0 0 41 1 3 658 1 10.6600 10 3 9 51 0 1 659 1 13.3500 12 10 100 47 0 0 660 1 10.0900 9 10 100 45 1 2 661 1 55.6000 14 7 49 60 0 0 662 1 25.7000 16 5 25 30 1 1 663 1 29.0000 11 15 225 55 0 0 664 1 7.2860 12 1 1 32 1 2 665 1 37.7520 12 5 25 36 0 2 666 1 13.0720 12 9 81 55 0 0 667 1 7.0440 12 18 324 47 0 0 668 1 18.2000 12 1 1 47 0 1 669 1 27.0000 11 0 0 37 0 1 670 1 30.3000 12 6 36 50 0 2 671 1 12.0000 12 1 1 30 0 3 672 1 31.5000 17 2 4 48 0 1 673 1 27.0920 10 15 225 43 0 2 674 1 20.9680 11 25 625 48 1 0 675 1 27.0000 14 1 1 41 1 2 676 1 11.2250 12 0 0 50 0 0 677 1 37.7000 8 0 0 58 0 0 678 1 28.2000 13 0 0 38 0 5 679 1 34.0000 12 8 64 37 0 1 680 1 63.2000 16 22 484 50 0 0 681 1 7.5000 8 5 25 42 0 4 682 1 17.4100 9 10 100 37 1 3 683 1 51.0000 16 1 1 41 0 2 684 1 12.9160 12 1 1 31 0 2 685 1 21.9000 12 6 36 51 0 0 686 1 17.6400 12 4 16 36 1 2 687 1 20.0000 15 6 36 54 0 0 688 1 15.0000 12 0 0 49 0 0 689 1 14.0600 9 1 1 48 1 1 690 1 15.8250 9 3 9 42 0 2 691 1 16.5100 12 15 225 41 1 2 692 1 13.0000 16 33 1089 55 0 0 693 1 10.0000 9 2 4 42 0 0 694 1 22.0000 15 1 1 32 0 1 695 1 29.8000 12 10 100 43 0 2 696 1 15.0000 12 0 0 33 1 3 697 1 22.3000 15 14 196 48 0 1 698 1 14.5500 12 15 225 43 0 2 699 1 19.7300 17 15 225 47 1 3 700 1 35.0000 12 10 100 54 0 0 701 1 21.0140 12 6 36 51 0 1 702 1 10.8760 10 18 324 51 0 1 703 1 27.8500 13 15 225 43 1 1 704 1 9.5600 12 30 900 53 0 0 705 1 30.3000 11 15 225 34 1 1 706 1 7.7200 8 10 100 31 1 1 707 1 10.5500 12 0 0 56 0 0 708 1 24.1060 16 0 0 42 0 1 709 1 22.9950 12 4 16 32 0 2 710 1 6.0000 12 0 0 35 1 3 711 1 24.3500 12 3 9 30 1 1 712 1 7.6080 10 20 400 51 0 0 713 1 28.2000 12 3 9 47 0 3 714 1 16.1500 12 1 1 54 0 1 715 1 51.2000 15 5 25 31 3 0 716 1 12.6460 10 7 49 47 0 0 717 1 19.0000 14 6 36 47 0 3 718 1 19.0000 12 2 4 40 0 3 719 1 14.4000 8 0 0 48 0 0 720 1 7.2320 8 10 100 34 0 7 721 1 21.9430 12 6 36 38 0 3 722 1 47.5000 12 4 16 32 1 3 723 1 28.9000 16 8 64 48 0 1 724 1 12.4000 12 18 324 41 0 2 725 1 6.5310 5 7 49 49 0 2 726 1 22.4220 8 15 225 59 0 0 727 1 22.2000 13 7 49 58 0 0 728 1 77.0000 12 8 64 41 0 3 729 1 88.0000 12 8 64 45 0 2 730 1 26.0400 14 3 9 30 1 1 731 1 63.5000 12 10 100 41 0 1 732 1 12.1000 12 9 81 30 2 0 733 1 17.5050 12 24 576 53 0 1 734 1 18.0000 12 12 144 31 0 0 735 1 28.0690 14 2 4 43 0 2 736 1 14.0000 12 6 36 31 1 1 737 1 8.1170 12 18 324 51 0 0 738 1 11.8950 9 17 289 43 0 0 739 1 45.2500 14 7 49 31 1 2 740 1 31.1060 11 6 36 48 0 0 741 1 4.0000 12 10 100 31 1 1 742 1 40.5000 12 5 25 44 0 1 743 1 21.6200 11 7 49 48 0 1 744 1 23.4260 12 11 121 53 0 1 745 1 26.0000 10 14 196 42 0 3 746 1 7.8400 12 5 25 39 2 6 747 1 6.8000 10 2 4 32 1 2 748 1 5.3300 12 4 16 36 0 2 749 1 28.2000 13 5 25 40 0 2 750 1 10.0000 12 14 196 31 2 3 751 1 9.9520 12 4 16 43 0 0 752 1 24.9840 12 15 225 60 0 0 753 1 28.3630 9 12 144 39 0 3 attr(,"assign") [1] 0 1 2 3 4 5 6 7 > all.equal( model.frame( wooldridge )[,-c(2,11)], model.frame( wooldridgeMl ), + check.attributes = FALSE ) [1] "Component \"I(exper^2)\": target is numeric, current is AsIs" [2] "Component 9: 'is.NA' value mismatch: 0 in current 325 in target" > print( model.frame( wooldridgeMl ) ) lfp nwifeinc educ exper I(exper^2) age kids5 kids618 log(wage) 1 1 10.9101 12 14 196 32 1 0 1.2102 2 1 19.5000 12 5 25 30 0 2 0.3285 3 1 12.0399 12 15 225 35 1 3 1.5141 4 1 6.8000 12 6 36 34 0 3 0.0921 5 1 20.1001 14 7 49 31 1 2 1.5243 6 1 9.8591 12 33 1089 54 0 0 1.5565 7 1 9.1520 16 11 121 37 0 2 2.1203 8 1 10.9000 12 35 1225 54 0 0 2.0596 9 1 17.3050 12 24 576 48 0 2 0.7543 10 1 12.9250 12 21 441 39 0 2 1.5449 11 1 24.3000 12 15 225 33 0 1 1.4019 12 1 19.7001 11 14 196 42 0 1 1.5243 13 1 15.0000 12 0 0 30 1 2 0.7340 14 1 14.6000 12 14 196 43 0 2 0.8184 15 1 24.6309 10 6 36 43 0 1 1.3028 16 1 17.5310 11 9 81 35 0 3 0.2980 17 1 14.1000 12 20 400 43 0 2 1.1676 18 1 15.8390 12 6 36 39 0 5 1.6438 19 1 14.1000 12 23 529 45 0 0 0.6931 20 1 10.3000 12 9 81 35 0 4 2.0219 21 1 22.6550 16 5 25 42 0 2 1.2542 22 1 8.0900 12 11 121 30 0 0 1.2730 23 1 17.4790 13 18 324 48 0 0 1.1787 24 1 9.5600 12 15 225 45 0 0 1.1787 25 1 8.2750 12 4 16 31 1 1 0.7676 26 1 27.3500 17 21 441 43 0 2 1.3318 27 1 16.0000 12 31 961 59 0 0 1.3863 28 1 17.0000 12 9 81 32 0 3 1.5533 29 1 15.1001 17 7 49 31 1 0 1.9818 30 1 15.7000 12 7 49 42 0 0 1.7694 31 1 5.1190 11 32 1024 50 0 0 0.4308 32 1 16.7500 16 11 121 59 0 0 0.8998 33 1 13.5999 13 16 256 36 0 2 1.7666 34 1 17.1000 12 14 196 51 0 1 1.2730 35 1 16.7340 16 27 729 45 0 3 1.3368 36 1 14.1970 11 0 0 42 0 1 0.9017 37 1 10.3200 12 17 289 46 0 0 0.8651 38 1 11.3841 10 28 784 46 0 1 1.5118 39 1 14.5941 14 24 576 51 0 0 1.7260 40 1 17.5004 17 11 121 30 0 0 2.6831 41 1 15.5100 12 1 1 30 1 2 0.9853 42 1 22.0000 12 14 196 57 0 0 1.3659 43 1 22.5000 16 6 36 31 1 2 0.9450 44 1 19.9940 12 10 100 48 0 2 1.5124 45 1 14.1300 12 6 36 30 0 3 0.6931 46 1 5.0000 12 4 16 34 0 2 1.2448 47 1 21.1549 16 10 100 48 0 2 0.7012 48 1 7.1419 12 22 484 45 0 0 1.5199 49 1 16.6501 12 16 256 51 0 0 0.8210 50 1 6.3520 12 6 36 30 0 2 0.9698 51 1 27.3139 12 12 144 46 0 1 0.8285 52 1 14.5000 12 32 1024 58 0 0 0.0943 53 1 16.2580 12 15 225 37 0 8 0.1625 54 1 9.5000 8 17 289 52 0 0 0.4700 55 1 8.0000 10 34 1156 52 0 0 0.6292 56 1 12.5000 16 9 81 31 0 0 1.3972 57 1 14.0000 14 37 1369 55 0 0 2.2654 58 1 20.8001 17 10 100 34 0 0 2.0845 59 1 19.3851 14 35 1225 55 0 0 1.5258 60 1 12.3870 12 6 36 39 0 2 0.7622 61 1 28.5000 14 19 361 40 0 3 1.4816 62 1 15.0499 12 10 100 43 0 4 1.2628 63 1 10.5000 8 11 121 48 0 0 0.9997 64 1 11.8100 12 15 225 47 0 0 1.8326 65 1 6.9501 12 12 144 41 0 4 2.4793 66 1 12.4200 8 12 144 36 0 0 1.2790 67 1 17.4000 17 14 196 46 0 2 1.9379 68 1 15.5000 12 11 121 34 0 0 1.0705 69 1 21.2170 12 9 81 41 0 3 1.1239 70 1 18.0000 12 24 576 51 0 1 1.3218 71 1 11.8999 12 12 144 33 0 0 1.7450 72 1 26.7520 12 13 169 52 0 0 1.3017 73 1 12.1500 9 29 841 58 0 0 1.6419 74 1 10.2000 10 11 121 34 2 4 2.1070 75 1 8.1200 12 13 169 31 0 1 1.4671 76 1 10.6600 12 19 361 48 0 1 1.6058 77 1 18.1000 12 2 4 32 0 2 -1.0297 78 1 8.6000 17 24 576 49 0 0 1.0877 79 1 13.6650 15 9 81 32 2 2 0.0000 80 1 32.3500 12 6 36 58 0 0 0.9382 81 1 12.0850 6 22 484 50 0 0 -0.1506 82 1 12.1500 14 30 900 60 0 0 0.0000 83 1 17.6950 12 10 100 50 0 1 1.0737 84 1 24.7000 14 6 36 56 0 0 1.2658 85 1 2.1340 9 29 841 51 0 0 0.4864 86 1 20.9500 17 29 841 54 0 1 2.1203 87 1 10.5001 13 36 1296 59 0 0 1.1299 88 1 10.5500 9 19 361 46 0 2 0.9933 89 1 45.7500 15 8 64 46 0 1 1.6586 90 1 13.6320 12 13 169 39 1 3 0.3474 91 1 18.2389 12 16 256 44 0 2 1.5683 92 1 17.0900 12 11 121 33 2 0 0.5108 93 1 30.2349 12 15 225 33 1 2 0.1148 94 1 28.7000 12 6 36 48 0 2 -0.6931 95 1 19.6300 12 13 169 31 0 4 -0.3365 96 1 12.8249 12 22 484 45 0 1 1.0282 97 1 23.8000 12 24 576 45 0 1 1.5807 98 1 26.3000 13 2 4 32 0 2 0.5559 99 1 20.6999 12 6 36 47 0 0 0.9014 100 1 26.0000 13 2 4 34 0 2 0.8843 101 1 10.8770 12 2 4 37 0 1 0.4282 102 1 25.6121 12 14 196 36 0 1 1.0584 103 1 20.9890 12 9 81 47 1 2 0.8783 104 1 70.7499 16 11 121 48 0 1 1.6549 105 1 17.0500 12 9 81 42 0 2 1.3218 106 1 21.0000 13 6 36 33 0 3 0.3285 107 1 8.1200 11 19 361 46 0 0 1.3863 108 1 20.8860 12 26 676 47 0 3 1.1729 109 1 17.6689 12 19 361 44 0 1 1.2242 110 1 25.2000 12 3 9 36 0 4 0.2877 111 1 14.2450 17 7 49 31 2 0 2.2303 112 1 14.3000 14 28 784 55 0 0 1.5041 113 1 23.7000 16 13 169 45 0 1 1.5312 114 1 46.0000 17 9 81 47 0 0 1.3752 115 1 42.9999 12 15 225 46 0 3 1.7603 116 1 14.7490 11 20 400 49 0 0 -0.6931 117 1 16.1501 12 29 841 49 0 0 1.4065 118 1 17.7740 12 9 81 45 0 2 1.7918 119 1 91.0000 17 1 1 38 1 3 1.2993 120 1 22.2999 10 8 64 47 0 0 1.3510 121 1 34.6000 13 19 361 54 0 3 1.0163 122 1 9.6200 11 23 529 41 0 0 1.0753 123 1 10.8999 12 3 9 43 0 2 1.4790 124 1 14.4999 16 13 169 31 1 1 1.6895 125 1 22.0000 17 8 64 47 0 0 2.2886 126 1 17.9001 12 17 289 35 0 2 -1.8226 127 1 23.6751 16 4 16 45 0 3 -0.9608 128 1 11.8000 12 15 225 33 1 0 1.2910 129 1 16.1420 16 11 121 54 0 1 0.8649 130 1 18.4000 8 7 49 35 0 4 1.5405 131 1 15.4999 12 0 0 31 1 2 0.6162 132 1 17.3240 12 0 0 55 0 0 1.6487 133 1 19.2050 12 10 100 34 0 2 1.1935 134 1 21.3001 13 8 64 38 0 1 2.1440 135 1 23.5600 11 2 4 45 0 1 0.7244 136 1 20.8500 12 4 16 47 0 1 0.9416 137 1 26.1500 12 6 36 39 0 2 0.7828 138 1 17.0000 14 18 324 36 1 0 1.8326 139 1 20.7200 12 3 9 33 1 2 1.2040 140 1 17.0001 12 22 484 50 0 0 1.4916 141 1 16.0000 12 33 1089 58 0 0 1.8921 142 1 19.5000 17 28 784 49 0 0 2.1309 143 1 12.0000 14 23 529 41 0 2 1.4806 144 1 13.7319 12 27 729 51 0 1 0.8943 145 1 27.2000 9 11 121 53 0 0 0.2025 146 1 5.3150 12 6 36 36 1 2 0.4855 147 1 16.0000 12 11 121 46 0 2 1.0986 148 1 27.8720 12 14 196 36 0 2 1.5533 149 1 40.0000 14 17 289 53 0 1 0.1216 150 1 15.9000 16 17 289 40 0 3 2.0018 151 1 27.5000 17 14 196 42 0 2 1.4950 152 1 17.0201 15 11 121 33 1 1 0.9052 153 1 22.3949 12 7 49 43 0 3 0.6325 154 1 11.1000 16 8 64 31 1 0 1.3863 155 1 32.7000 17 6 36 47 0 0 2.1029 156 1 27.8000 17 8 64 54 0 0 1.9596 157 1 2.2000 12 4 16 33 1 3 0.5108 158 1 19.7210 16 25 625 43 0 0 1.2369 159 1 10.0000 13 24 576 46 0 1 1.4433 160 1 13.2000 12 11 121 35 0 3 1.0217 161 1 12.7090 11 19 361 37 0 3 0.6362 162 1 27.3000 16 9 81 37 0 2 1.6165 163 1 21.2000 14 19 361 34 0 3 0.2231 164 1 14.4000 16 14 196 43 1 0 1.0498 165 1 20.5760 12 22 484 46 0 0 1.4151 166 1 12.5000 9 6 36 35 0 3 0.5754 167 1 17.5002 17 23 529 46 0 0 2.6067 168 1 44.0000 14 15 225 46 0 0 1.5179 169 1 13.1190 12 6 36 43 0 2 0.7550 170 1 14.0001 12 11 121 30 0 0 1.0950 171 1 9.6451 11 2 4 41 0 2 0.9421 172 1 17.3970 12 22 484 54 0 1 1.7249 173 1 7.7999 12 10 100 31 0 1 1.0315 174 1 13.1340 10 14 196 44 0 0 0.4744 175 1 25.6000 12 12 144 32 0 1 0.8109 176 1 13.9000 5 9 81 47 0 0 0.7093 177 1 19.2979 17 13 169 46 0 1 1.7105 178 1 9.2000 11 18 324 37 0 0 0.4603 179 1 38.0000 12 8 64 51 0 2 1.3318 180 1 44.0000 12 11 121 49 0 1 1.0986 181 1 21.3720 14 9 81 36 0 4 2.1580 182 1 23.6680 11 9 81 39 0 1 1.4376 183 1 9.0000 12 14 196 48 0 2 1.5449 184 1 25.2000 14 9 81 38 0 2 1.4106 185 1 21.2200 12 2 4 40 0 2 3.2189 186 1 33.9699 10 12 144 39 1 5 0.9682 187 1 17.0700 16 15 225 37 0 0 1.7918 188 1 6.0160 13 11 121 49 0 1 1.6887 189 1 17.1000 12 7 49 33 0 3 -0.4092 190 1 8.2370 12 9 81 30 0 0 0.2231 191 1 13.3001 12 19 361 54 0 0 0.8222 192 1 16.0000 11 11 121 39 0 4 1.2417 193 1 12.5400 12 8 64 43 0 3 1.4271 194 1 18.0000 9 13 169 31 0 3 1.4971 195 1 31.2000 13 4 16 33 0 3 0.5596 196 1 20.7499 12 7 49 40 0 3 1.3000 197 1 11.0999 12 19 361 36 0 1 1.8844 198 1 20.6800 12 14 196 51 0 0 0.9555 199 1 18.0000 13 14 196 44 0 1 1.5821 200 1 32.4301 16 3 9 42 0 3 1.7556 201 1 32.9000 12 9 81 40 0 1 1.5131 202 1 24.1000 16 7 49 34 1 1 2.2519 203 1 17.8004 17 7 49 30 0 0 2.3644 204 1 20.5000 12 14 196 54 0 0 0.1054 205 1 10.4999 12 29 841 51 0 0 1.3997 206 1 10.4370 9 19 361 44 0 2 0.9885 207 1 18.1950 12 14 196 43 0 1 1.0906 208 1 12.8451 12 16 256 34 0 1 1.1546 209 1 13.8000 13 10 100 45 0 0 1.2669 210 1 22.2000 12 12 144 39 0 0 2.8852 211 1 6.6999 12 24 576 50 0 0 1.2289 212 1 6.2500 12 6 36 52 0 0 1.2040 213 1 15.6000 12 9 81 41 0 2 1.3574 214 1 3.3000 10 14 196 59 0 0 0.8377 215 1 3.6710 12 26 676 52 0 0 0.5370 216 1 7.7900 16 7 49 46 0 0 0.7487 217 1 18.2720 12 4 16 41 1 5 2.2959 218 1 10.9540 11 15 225 33 0 2 1.1078 219 1 13.5000 12 23 529 45 0 0 0.6208 220 1 11.2000 10 1 1 36 1 2 -2.0542 221 1 20.9999 12 29 841 48 0 1 1.8920 222 1 25.7000 12 9 81 47 0 1 1.7297 223 1 8.9330 12 6 36 45 0 0 0.4694 224 1 19.1600 12 11 121 37 0 2 0.9808 225 1 26.5900 16 17 289 46 0 4 2.0695 226 1 22.4000 17 6 36 43 0 3 1.6752 227 1 20.6330 12 7 49 42 0 2 1.3863 228 1 28.2000 17 2 4 34 1 2 1.7992 229 1 28.8000 12 24 576 52 0 0 1.8326 230 1 9.0000 12 4 16 37 0 3 1.0906 231 1 11.3999 12 11 121 37 0 1 1.4431 232 1 10.4000 8 25 625 52 0 0 1.2504 233 1 19.0801 12 11 121 30 1 0 1.6023 234 1 9.4660 13 2 4 31 0 1 1.0186 235 1 6.5001 12 19 361 38 0 1 1.2971 236 1 29.1170 12 7 49 43 0 3 1.6852 237 1 19.1030 8 2 4 49 0 1 -0.4210 238 1 16.3500 12 20 400 55 0 0 1.5621 239 1 32.0250 17 10 100 38 0 2 2.1465 240 1 16.7001 17 19 361 52 0 0 2.3475 241 1 4.8110 12 17 289 48 0 0 0.9698 242 1 24.6260 13 12 144 32 0 2 1.9241 243 1 17.4000 12 11 121 32 0 1 1.6267 244 1 13.0250 12 6 36 38 0 2 -0.0393 245 1 19.0070 12 10 100 46 0 3 1.4601 246 1 14.0300 12 4 16 40 0 3 1.9554 247 1 14.8999 9 2 4 31 0 4 0.9264 248 1 25.0001 10 13 169 43 0 1 2.0662 249 1 10.7001 12 21 441 51 0 0 1.4228 250 1 24.2500 16 9 81 30 1 0 2.1010 251 1 39.1400 13 4 16 52 0 0 2.2615 252 1 7.2000 8 2 4 30 1 5 0.7013 253 1 31.8110 16 19 361 51 0 0 2.0310 254 1 10.0000 13 4 16 31 0 2 1.1624 255 1 20.6600 12 9 81 34 0 4 0.4700 256 1 13.5000 11 14 196 49 0 0 1.4106 257 1 25.3800 13 6 36 35 1 3 0.3931 258 1 18.2750 12 24 576 53 1 0 1.2910 259 1 39.2130 12 1 1 32 0 3 0.0000 260 1 10.4999 10 13 169 38 0 3 0.9571 261 1 34.8570 12 3 9 54 0 0 0.5596 262 1 28.5020 17 10 100 47 0 1 1.5686 263 1 13.0000 15 16 256 45 0 1 1.7102 264 1 41.3999 16 9 81 47 0 1 1.4106 265 1 14.7800 10 19 361 59 0 0 0.2231 266 1 15.0500 11 4 16 32 0 1 0.5108 267 1 29.7000 12 10 100 45 0 1 1.3324 268 1 16.1650 12 5 25 40 0 4 0.8602 269 1 25.2052 14 7 49 47 0 2 2.3228 270 1 14.2000 16 3 9 36 1 2 1.9196 271 1 18.1590 14 38 1444 56 0 0 1.9761 272 1 28.9811 8 16 256 41 0 1 0.8954 273 1 13.3920 7 13 169 48 0 3 0.1812 274 1 9.1750 12 1 1 36 1 2 0.4953 275 1 27.0398 12 7 49 41 0 0 0.5778 276 1 13.1500 14 15 225 41 0 0 1.0788 277 1 16.4001 12 10 100 36 0 3 1.6032 278 1 21.3000 12 2 4 37 0 3 0.6208 279 1 17.2010 12 19 361 38 0 0 2.0839 280 1 8.5600 14 25 625 43 0 2 1.3792 281 1 6.4908 16 25 625 54 0 0 1.1124 282 1 12.5000 12 7 49 38 0 1 1.0671 283 1 27.0000 12 15 225 30 1 0 1.1188 284 1 53.5000 12 11 121 49 0 0 1.5885 285 1 52.4999 13 25 625 45 0 1 1.3903 286 1 38.4000 13 19 361 51 0 0 1.7148 287 1 13.8919 10 4 16 34 0 0 0.2011 288 1 3.9000 12 14 196 34 0 2 0.9873 289 1 34.2000 12 19 361 41 0 1 0.9835 290 1 19.7001 12 18 324 49 0 1 2.2332 291 1 18.5000 12 14 196 32 0 0 1.1436 292 1 11.0000 14 11 121 32 0 0 -0.6114 293 1 43.3000 17 4 16 32 0 2 2.1531 294 1 18.7600 10 29 841 47 0 0 1.2998 295 1 4.8001 9 21 441 39 0 1 0.8409 296 1 21.5000 12 24 576 49 0 0 1.0585 297 1 28.0399 12 19 361 37 0 3 1.1527 298 1 26.0000 16 31 961 59 0 0 1.2936 299 1 27.0000 12 28 784 50 0 0 1.8326 300 1 17.7997 17 15 225 32 0 1 2.3272 301 1 17.4019 12 27 729 46 0 0 1.1661 302 1 19.3100 17 13 169 43 0 2 2.0350 303 1 10.0000 11 4 16 37 0 3 0.6793 304 1 11.1800 16 10 100 32 0 2 1.5471 305 1 18.8570 11 8 64 39 0 1 0.7530 306 1 12.3000 13 4 16 34 0 2 0.8473 307 1 13.6771 11 18 324 39 0 1 0.8711 308 1 9.5600 8 3 9 45 0 3 0.2283 309 1 24.5000 11 11 121 50 0 0 0.0897 310 1 23.1500 12 8 64 40 0 1 1.3218 311 1 15.5909 10 10 100 30 0 1 1.1961 312 1 14.4209 17 33 1089 57 0 0 1.6361 313 1 17.4549 12 19 361 39 0 1 1.8920 314 1 9.8000 12 35 1225 53 0 0 1.5183 315 1 17.5745 17 21 441 48 0 1 2.4722 316 1 16.5550 14 7 49 46 0 1 1.3218 317 1 13.2950 12 18 324 47 0 0 1.4736 318 1 11.8440 12 4 16 43 0 1 1.3695 319 1 46.6451 12 12 144 47 0 0 1.2040 320 1 14.7000 12 16 256 47 0 1 1.1987 321 1 26.0901 12 14 196 47 0 0 1.2702 322 1 9.9000 12 3 9 46 0 0 0.4700 323 1 9.0480 9 1 1 34 0 4 0.8000 324 1 30.7501 10 27 729 48 0 0 1.5659 325 1 8.4999 12 12 144 30 0 1 1.7590 326 1 22.2500 12 6 36 51 0 1 0.8580 327 1 42.9100 12 9 81 52 0 5 0.6931 328 1 33.3000 12 2 4 37 0 2 0.6419 329 1 13.8199 12 6 36 32 0 2 1.6337 330 1 23.6000 17 9 81 36 0 2 1.7037 331 1 13.0001 12 16 256 35 0 2 1.8440 332 1 20.7499 17 22 484 45 0 0 1.9661 333 1 6.3000 12 26 676 56 0 0 0.8650 334 1 7.7889 10 11 121 40 0 2 0.9333 335 1 10.4700 12 11 121 45 1 2 0.7792 336 1 12.0000 12 15 225 32 0 2 0.9555 337 1 16.9799 12 13 169 45 0 0 1.3162 338 1 17.9000 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10 20 400 51 0 0 -Inf 713 0 28.2000 12 3 9 47 0 3 -Inf 714 0 16.1500 12 1 1 54 0 1 -Inf 715 0 51.2000 15 5 25 31 3 0 -Inf 716 0 12.6460 10 7 49 47 0 0 -Inf 717 0 19.0000 14 6 36 47 0 3 -Inf 718 0 19.0000 12 2 4 40 0 3 -Inf 719 0 14.4000 8 0 0 48 0 0 -Inf 720 0 7.2320 8 10 100 34 0 7 -Inf 721 0 21.9430 12 6 36 38 0 3 -Inf 722 0 47.5000 12 4 16 32 1 3 -Inf 723 0 28.9000 16 8 64 48 0 1 -Inf 724 0 12.4000 12 18 324 41 0 2 -Inf 725 0 6.5310 5 7 49 49 0 2 -Inf 726 0 22.4220 8 15 225 59 0 0 -Inf 727 0 22.2000 13 7 49 58 0 0 -Inf 728 0 77.0000 12 8 64 41 0 3 -Inf 729 0 88.0000 12 8 64 45 0 2 -Inf 730 0 26.0400 14 3 9 30 1 1 -Inf 731 0 63.5000 12 10 100 41 0 1 -Inf 732 0 12.1000 12 9 81 30 2 0 -Inf 733 0 17.5050 12 24 576 53 0 1 -Inf 734 0 18.0000 12 12 144 31 0 0 -Inf 735 0 28.0690 14 2 4 43 0 2 -Inf 736 0 14.0000 12 6 36 31 1 1 -Inf 737 0 8.1170 12 18 324 51 0 0 -Inf 738 0 11.8950 9 17 289 43 0 0 -Inf 739 0 45.2500 14 7 49 31 1 2 -Inf 740 0 31.1060 11 6 36 48 0 0 -Inf 741 0 4.0000 12 10 100 31 1 1 -Inf 742 0 40.5000 12 5 25 44 0 1 -Inf 743 0 21.6200 11 7 49 48 0 1 -Inf 744 0 23.4260 12 11 121 53 0 1 -Inf 745 0 26.0000 10 14 196 42 0 3 -Inf 746 0 7.8400 12 5 25 39 2 6 -Inf 747 0 6.8000 10 2 4 32 1 2 -Inf 748 0 5.3300 12 4 16 36 0 2 -Inf 749 0 28.2000 13 5 25 40 0 2 -Inf 750 0 10.0000 12 14 196 31 2 3 -Inf 751 0 9.9520 12 4 16 43 0 0 -Inf 752 0 24.9840 12 15 225 60 0 0 -Inf 753 0 28.3630 9 12 144 39 0 3 -Inf > logLik( wooldridgeMl ) 'log Lik.' -833 (df=14) > > # LR tests > wooldridgeMl1 <- selection( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age + + kids5 + kids618, log( wage ) ~ 1, Mroz87 ) > lrtest( wooldridgeMl1, wooldridgeMl ) Likelihood ratio test Model 1: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ 1, data = Mroz87) Model 2: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ + exper + I(exper^2), data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 11 -856 2 14 -833 3 47.1 3.4e-10 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > wooldridgeMl2 <- selection( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age + + kids5 + kids618, log( wage ) ~ educ, Mroz87 ) > lrtest( wooldridgeMl2, wooldridgeMl ) Likelihood ratio test Model 1: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ, data = Mroz87) Model 2: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ + exper + I(exper^2), data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 12 -839 2 14 -833 2 12.3 0.0021 ** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > wooldridgeMl3 <- selection( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age + + kids5, log( wage ) ~ educ + exper, Mroz87 ) > lrtest( wooldridgeMl3, wooldridgeMl ) Likelihood ratio test Model 1: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5, outcome = log(wage) ~ educ + exper, data = Mroz87) Model 2: selection(selection = lfp ~ nwifeinc + educ + exper + I(exper^2) + age + kids5 + kids618, outcome = log(wage) ~ educ + exper + I(exper^2), data = Mroz87) #Df LogLik Df Chisq Pr(>Chisq) 1 12 -835 2 14 -833 2 4.67 0.097 . --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > proc.time() user system elapsed 2.59 0.25 2.82