predict.probit: Predict method for fitted probit models
In sampleSelection: Sample Selection Models
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Calculate predicted values for fitted probit models.
Usage
1
2
Arguments
object
a fitted object of class probit.
newdata
optionally, a data frame in which to look for variables
with which to predict.
If omitted, the fitted linear predictors or the fitted response values
are returned.
type
the type of prediction.
If this argument is "link" (the default),
the predicted linear predictors are returned.
If this argument is "response",
the predicted probabilities are returned.
...
further arguments (currently ignored).
Value
A numeric vector of the predicted values.
Author(s)
Arne Henningsen and the R Core Team (the code of predict.probit
is partly based on the code of predict.lm
and predict.glm).
See Also
probit, predict,
predict.glm, residuals.probit,
and probit-methods.
Examples
1
2
3
4
5
6
7
8
## female labour force participation probability
data( "Mroz87" )
m <- probit( lfp ~ kids5 + kids618 + educ + hushrs +
huseduc + huswage + mtr + motheduc, data=Mroz87 )
predict( m ) # equal to linearPredictors(m)
predict( m, type = "response" ) # equal to fitted(m)
predict( m, newdata = Mroz87[ 3:9, ] ) # equal to linearPredictors(m)[3:9]
predict( m, newdata = Mroz87[ 3:9, ], type = "response" ) # equal to fitted(m)[3:9]
Example output
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/
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1.532395e-02 8.777675e-01 8.382535e-01 7.284621e-01 5.735927e-01 8.339053e-01
163 164 165 166 167 168
4.812885e-01 4.616247e-01 6.553744e-01 4.203982e-01 9.473869e-01 8.158460e-01
169 170 171 172 173 174
6.940894e-01 6.084876e-01 7.600199e-01 5.973915e-01 7.769250e-01 7.245395e-01
175 176 177 178 179 180
5.119121e-01 2.397991e-01 8.901789e-01 5.171188e-01 5.571997e-01 5.224743e-01
181 182 183 184 185 186
7.596287e-01 5.216345e-01 8.894448e-01 7.571971e-01 4.829473e-01 5.487346e-01
187 188 189 190 191 192
8.911423e-01 9.506939e-01 4.774841e-01 6.769330e-01 5.608295e-01 4.118697e-01
193 194 195 196 197 198
6.496229e-01 7.152781e-01 6.814238e-01 6.986540e-01 8.678290e-01 5.175487e-01
199 200 201 202 203 204
8.534789e-01 8.979471e-01 7.353484e-01 6.663836e-01 9.576989e-01 4.313817e-01
205 206 207 208 209 210
8.073622e-01 5.429855e-01 6.377951e-01 6.423500e-01 7.794166e-01 7.927738e-01
211 212 213 214 215 216
7.161660e-01 7.814297e-01 7.829573e-01 7.476455e-01 8.608452e-01 8.164001e-01
217 218 219 220 221 222
5.978148e-01 6.414003e-01 4.216231e-01 3.528131e-01 8.578200e-01 6.534454e-01
223 224 225 226 227 228
6.147502e-01 4.750913e-01 9.567561e-01 8.493864e-01 6.919595e-01 7.766416e-01
229 230 231 232 233 234
7.957666e-01 7.615117e-01 7.386492e-01 2.659178e-01 5.133826e-01 7.666166e-01
235 236 237 238 239 240
8.180283e-01 9.445216e-01 1.271071e-01 7.456806e-01 7.328255e-01 9.610888e-01
241 242 243 244 245 246
3.319652e-01 7.441970e-01 5.496434e-01 6.076488e-01 5.975452e-01 5.878918e-01
247 248 249 250 251 252
6.161826e-01 8.143772e-01 6.689622e-01 8.613209e-01 9.149303e-01 3.833395e-01
253 254 255 256 257 258
8.332767e-01 7.347681e-01 5.997778e-01 9.451052e-02 3.052516e-01 3.160113e-01
259 260 261 262 263 264
3.723954e-01 7.078813e-01 2.738861e-01 9.909544e-01 6.668390e-01 8.177595e-01
265 266 267 268 269 270
7.601624e-01 4.270481e-01 6.161289e-01 6.239322e-01 9.194780e-01 6.034744e-01
271 272 273 274 275 276
8.923335e-01 4.556479e-01 2.641916e-01 5.336716e-01 8.069987e-01 7.046958e-01
277 278 279 280 281 282
7.829662e-01 5.071724e-01 7.438626e-01 8.383942e-01 7.391453e-01 5.937786e-01
283 284 285 286 287 288
6.200362e-01 2.071538e-01 9.732650e-01 7.403340e-01 5.298893e-01 7.573218e-01
289 290 291 292 293 294
3.714156e-01 7.550601e-01 5.274156e-01 7.232440e-01 9.972178e-01 5.756436e-01
295 296 297 298 299 300
6.227284e-01 6.030557e-01 6.264605e-01 7.004014e-01 7.918124e-01 9.214855e-01
301 302 303 304 305 306
7.022126e-01 7.588525e-01 6.801673e-01 8.690919e-01 6.440788e-01 5.361100e-01
307 308 309 310 311 312
8.025161e-01 6.486814e-01 4.932421e-01 7.370372e-01 6.037916e-01 9.339301e-01
313 314 315 316 317 318
8.420010e-01 8.016868e-01 8.921447e-01 7.968267e-01 6.663719e-01 5.665002e-01
319 320 321 322 323 324
6.382687e-01 5.398602e-01 7.542555e-01 5.486942e-01 6.226021e-01 7.203727e-01
325 326 327 328 329 330
7.831795e-01 7.598380e-01 7.008468e-01 8.306555e-01 8.614549e-01 9.332848e-01
331 332 333 334 335 336
8.259825e-01 9.250226e-01 7.143862e-01 7.174269e-01 5.660298e-01 5.834907e-01
337 338 339 340 341 342
6.588636e-01 5.550685e-01 8.102989e-01 7.437293e-01 7.845054e-01 7.258350e-01
343 344 345 346 347 348
8.126987e-01 8.489609e-01 8.236968e-01 7.743344e-01 8.175284e-01 7.897713e-01
349 350 351 352 353 354
4.503143e-01 8.383976e-01 7.534213e-01 2.441172e-01 6.917044e-01 5.406654e-01
355 356 357 358 359 360
7.214332e-01 4.941401e-01 7.000878e-01 5.124454e-01 3.538508e-01 5.476401e-01
361 362 363 364 365 366
6.723207e-01 7.767912e-01 7.175886e-01 6.542582e-01 6.462743e-01 7.584349e-01
367 368 369 370 371 372
6.287666e-01 6.909547e-01 1.704007e-01 9.018633e-01 4.522602e-01 7.078820e-01
373 374 375 376 377 378
7.025686e-01 6.659615e-01 6.076597e-01 6.508796e-01 6.871743e-01 8.276561e-01
379 380 381 382 383 384
6.832890e-01 5.241186e-01 9.195730e-01 8.449690e-01 7.686223e-01 7.392941e-01
385 386 387 388 389 390
8.649958e-01 9.386909e-01 8.111915e-01 3.748844e-01 6.568723e-01 6.112119e-01
391 392 393 394 395 396
3.349201e-01 8.832370e-01 6.398765e-01 4.860262e-01 8.150517e-01 5.609466e-01
397 398 399 400 401 402
3.474377e-01 9.177648e-01 9.696461e-01 6.886030e-01 7.178248e-01 4.662155e-01
403 404 405 406 407 408
6.449224e-01 5.277178e-01 7.847359e-01 7.202049e-01 7.599645e-01 4.202416e-01
409 410 411 412 413 414
6.755466e-01 3.793738e-01 7.335513e-01 1.157492e-01 5.809340e-01 6.383494e-01
415 416 417 418 419 420
9.377161e-01 4.047082e-01 9.631259e-01 4.166339e-01 6.355748e-01 5.941787e-01
421 422 423 424 425 426
6.873414e-01 4.347072e-01 2.754192e-01 3.657110e-01 8.658647e-01 9.238363e-01
427 428 429 430 431 432
6.852808e-01 5.901914e-01 5.443138e-01 1.686217e-01 4.408936e-02 6.129776e-01
433 434 435 436 437 438
4.809770e-01 6.960792e-01 3.849322e-01 4.160359e-01 6.116645e-01 4.475342e-01
439 440 441 442 443 444
5.199905e-01 5.790216e-01 3.308670e-01 7.041675e-01 1.416123e-01 2.192201e-01
445 446 447 448 449 450
1.823733e-01 2.900985e-01 2.090834e-01 5.613580e-01 2.640871e-01 1.428270e-01
451 452 453 454 455 456
2.463648e-01 8.617562e-01 7.894349e-01 8.386430e-01 5.986832e-01 2.188074e-01
457 458 459 460 461 462
3.987111e-01 4.717508e-01 1.114416e-01 5.116708e-01 6.096801e-01 1.265291e-01
463 464 465 466 467 468
9.168666e-03 5.847418e-01 5.641024e-01 2.643041e-01 4.377049e-01 5.364417e-01
469 470 471 472 473 474
2.318163e-01 9.319611e-01 3.741317e-01 6.259587e-01 5.305867e-01 3.709567e-01
475 476 477 478 479 480
6.613895e-01 3.921913e-01 1.611626e-01 3.384174e-01 2.321068e-01 4.142692e-01
481 482 483 484 485 486
4.820067e-01 6.302943e-01 6.617811e-01 6.338214e-03 9.211315e-02 5.778654e-01
487 488 489 490 491 492
3.719433e-01 5.711283e-01 2.630604e-01 6.778160e-01 5.009140e-01 7.664314e-01
493 494 495 496 497 498
4.672367e-01 5.761162e-01 3.037546e-01 3.610325e-01 2.891761e-01 2.431688e-01
499 500 501 502 503 504
6.360701e-01 5.816684e-01 4.131600e-01 5.547752e-01 6.522823e-01 4.934484e-01
505 506 507 508 509 510
3.504717e-01 4.439550e-01 4.327937e-01 6.599935e-01 1.609931e-01 4.292939e-01
511 512 513 514 515 516
2.607872e-01 2.535833e-01 6.118539e-01 1.905890e-01 5.125468e-01 2.640896e-01
517 518 519 520 521 522
4.352146e-01 6.258021e-01 7.235375e-01 3.181528e-01 5.930149e-01 2.756002e-01
523 524 525 526 527 528
2.734393e-01 5.289795e-01 2.960171e-01 3.243266e-01 5.540602e-01 7.006328e-02
529 530 531 532 533 534
5.339211e-01 3.397908e-01 6.707820e-01 4.726140e-01 5.591212e-01 3.610018e-01
535 536 537 538 539 540
4.347818e-01 4.395587e-01 1.929868e-01 2.502491e-01 2.453499e-01 5.474646e-01
541 542 543 544 545 546
2.567865e-01 4.308737e-01 6.824647e-01 5.573049e-01 5.841507e-01 6.442342e-01
547 548 549 550 551 552
2.724738e-01 4.968440e-01 4.485980e-01 6.063305e-01 4.592181e-01 2.376259e-01
553 554 555 556 557 558
5.557172e-01 7.191765e-01 4.458454e-01 5.447047e-01 4.088713e-01 5.432111e-01
559 560 561 562 563 564
2.730429e-01 2.140638e-01 6.202303e-01 2.402429e-01 9.610526e-01 4.894483e-01
565 566 567 568 569 570
2.542078e-01 6.374675e-01 4.751612e-01 3.792493e-01 5.067023e-01 6.215272e-01
571 572 573 574 575 576
2.692895e-01 3.321730e-01 5.646849e-01 3.760668e-01 5.065648e-01 4.064182e-01
577 578 579 580 581 582
5.193601e-01 3.806924e-01 8.062879e-01 9.533431e-02 4.181502e-01 9.062626e-01
583 584 585 586 587 588
3.875064e-01 5.139072e-01 2.169356e-01 3.903183e-01 3.581807e-01 2.493561e-01
589 590 591 592 593 594
6.045059e-01 5.086012e-01 3.844301e-01 2.857630e-01 1.942186e-01 4.089603e-01
595 596 597 598 599 600
1.392014e-01 7.407099e-01 3.767117e-01 3.764825e-01 8.530819e-01 2.895583e-01
601 602 603 604 605 606
5.197748e-01 2.671090e-01 3.211960e-01 4.689895e-01 6.735508e-02 5.335266e-01
607 608 609 610 611 612
3.042686e-01 4.230378e-01 4.664802e-01 4.685096e-05 5.510893e-01 3.901408e-01
613 614 615 616 617 618
5.134880e-02 4.851718e-01 6.599736e-01 3.864099e-01 7.243816e-02 6.994946e-01
619 620 621 622 623 624
6.355791e-01 5.839387e-01 2.911873e-01 4.052846e-01 2.428652e-01 3.709556e-01
625 626 627 628 629 630
5.059242e-01 9.109733e-01 3.470750e-01 5.053257e-01 3.256648e-01 3.868174e-01
631 632 633 634 635 636
2.727965e-01 2.653766e-01 8.181450e-01 4.500144e-01 6.013593e-01 4.332847e-01
637 638 639 640 641 642
4.293833e-01 7.437848e-01 2.738431e-01 7.646965e-02 6.909063e-01 3.618619e-01
643 644 645 646 647 648
5.449846e-01 6.884458e-01 2.153191e-01 2.378047e-02 1.181525e-01 4.252622e-01
649 650 651 652 653 654
4.813632e-01 3.437973e-01 5.899709e-01 2.798355e-01 6.651862e-01 3.698401e-01
655 656 657 658 659 660
3.060618e-01 3.262224e-01 3.654359e-01 4.702566e-01 6.407346e-01 3.242049e-01
661 662 663 664 665 666
3.352318e-01 2.610686e-01 3.306261e-01 3.285068e-01 9.430609e-01 6.560103e-01
667 668 669 670 671 672
6.375608e-01 5.650072e-01 6.001799e-01 9.030867e-01 5.532184e-01 8.044761e-01
673 674 675 676 677 678
4.117604e-01 3.952475e-01 3.264189e-01 4.149199e-01 7.557366e-01 5.895236e-01
679 680 681 682 683 684
4.761002e-01 4.965365e-02 5.321552e-01 1.716296e-01 9.939295e-01 3.945047e-01
685 686 687 688 689 690
4.506157e-01 4.026078e-01 5.049215e-01 4.491184e-01 2.237314e-01 3.764934e-01
691 692 693 694 695 696
2.345745e-01 9.017885e-01 3.781565e-01 6.165675e-01 4.870546e-01 4.565545e-01
697 698 699 700 701 702
6.075151e-01 6.043574e-01 7.338197e-01 8.676970e-01 4.690290e-01 8.450104e-01
703 704 705 706 707 708
4.433805e-01 8.036573e-01 5.769120e-01 1.223961e-01 5.415749e-01 6.967340e-01
709 710 711 712 713 714
4.894222e-01 5.395434e-01 2.272537e-01 2.632736e-01 7.311049e-01 4.523311e-01
715 716 717 718 719 720
9.161790e-02 4.626987e-01 6.165267e-01 4.796587e-01 3.769502e-01 2.769865e-01
721 722 723 724 725 726
6.942616e-01 2.729773e-01 9.572604e-01 6.547279e-01 3.038591e-01 2.136806e-01
727 728 729 730 731 732
5.464562e-01 7.319255e-02 7.630265e-06 2.279372e-01 3.017672e-01 1.074677e-01
733 734 735 736 737 738
7.108717e-01 4.455760e-01 5.335693e-01 3.087091e-01 6.694729e-01 5.093369e-01
739 740 741 742 743 744
5.083140e-01 4.143825e-01 7.103226e-01 4.847667e-01 3.018987e-01 4.440011e-01
745 746 747 748 749 750
3.460728e-01 1.202771e-01 1.491323e-01 4.763537e-01 5.303664e-01 2.336126e-01
751 752 753
7.563389e-01 5.466680e-01 3.508475e-01
3 4 5 6 7 8 9
0.1145660 0.6191034 0.3698354 1.1253771 1.4126535 -0.3103545 0.6791153
3 4 5 6 7 8 9
0.5456054 0.7320759 0.6442474 0.8697854 0.9211212 0.3781457 0.7514676
sampleSelection documentation built on Dec. 15, 2020, 3:01 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Calculate predicted values for fitted probit models.
Usage
1 2 |
Arguments
object |
a fitted object of class |
newdata |
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors or the fitted response values are returned. |
type |
the type of prediction.
If this argument is |
... |
further arguments (currently ignored). |
Value
A numeric vector of the predicted values.
Author(s)
Arne Henningsen and the R Core Team (the code of predict.probit
is partly based on the code of predict.lm
and predict.glm).
See Also
probit, predict,
predict.glm, residuals.probit,
and probit-methods.
Examples
1 2 3 4 5 6 7 8 | ## female labour force participation probability
data( "Mroz87" )
m <- probit( lfp ~ kids5 + kids618 + educ + hushrs +
huseduc + huswage + mtr + motheduc, data=Mroz87 )
predict( m ) # equal to linearPredictors(m)
predict( m, type = "response" ) # equal to fitted(m)
predict( m, newdata = Mroz87[ 3:9, ] ) # equal to linearPredictors(m)[3:9]
predict( m, newdata = Mroz87[ 3:9, ], type = "response" ) # equal to fitted(m)[3:9]
|
Example output
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/
1 2 3 4 5 6
-0.403028773 0.344414958 0.114565956 0.619103388 0.369835385 1.125377054
7 8 9 10 11 12
1.412653521 -0.310354474 0.679115277 0.745742887 0.596550739 0.486992283
13 14 15 16 17 18
-0.543680723 -0.148238641 0.293427427 0.062409067 0.635693016 0.669155930
19 20 21 22 23 24
0.295041753 1.275224443 0.964602184 0.663905345 0.272067228 0.328779903
25 26 27 28 29 30
-0.069769742 0.825014865 -0.047893149 0.604673848 0.953977663 0.494376407
31 32 33 34 35 36
0.609264492 0.155729791 1.029116690 0.456069450 1.255185220 0.154582827
37 38 39 40 41 42
0.924542088 0.736740365 1.221465737 1.462750207 -1.156132265 0.813709841
43 44 45 46 47 48
-0.257073015 0.157015466 0.269977295 0.090789345 1.274296668 0.918747200
49 50 51 52 53 54
0.303398227 0.560248708 0.459261262 0.225199594 0.844419304 -0.234020008
55 56 57 58 59 60
0.150069639 0.997518396 1.237475155 1.659019143 1.113672415 -0.492250756
61 62 63 64 65 66
0.943332253 0.948023205 -0.113682284 0.290400041 0.937502603 0.014956806
67 68 69 70 71 72
0.868168576 -0.079682592 0.663002879 0.072585929 0.209592883 0.188137253
73 74 75 76 77 78
0.572819582 -0.216850913 0.480669574 1.126854204 -0.404402437 1.359698702
79 80 81 82 83 84
-0.515074382 0.067353420 -0.591204704 0.262042337 0.277153220 -1.224160746
85 86 87 88 89 90
0.704722431 2.072050237 0.686557573 0.010075751 0.399714291 -0.383046420
91 92 93 94 95 96
0.819371157 -1.352603502 0.433516336 0.079656293 0.222039250 0.277930172
97 98 99 100 101 102
0.326865405 0.578798488 0.387945666 1.040134188 0.700329775 0.183570240
103 104 105 106 107 108
-0.253072134 1.787047699 0.349794928 0.211428315 0.878801056 0.463552492
109 110 111 112 113 114
0.886709590 -0.061577714 -0.422289789 0.624507976 0.561890688 1.444956711
115 116 117 118 119 120
1.193760092 -0.132030511 0.335282337 1.525406247 0.771481143 0.171719155
121 122 123 124 125 126
0.891493826 0.367224041 0.642159406 0.765007753 1.191431701 0.187009350
127 128 129 130 131 132
0.584608494 -0.307037901 1.158234950 -0.101013907 -0.412000485 0.289062725
133 134 135 136 137 138
0.238587189 0.963763398 0.115808398 0.173494499 0.235445501 -0.008430824
139 140 141 142 143 144
-0.664340319 0.810992471 0.810715415 2.640555791 0.723497271 0.425505462
145 146 147 148 149 150
-0.472214953 0.170969644 0.352378152 1.747944500 0.492928466 1.780876026
151 152 153 154 155 156
1.122474796 -0.006954794 0.995722684 0.377865123 1.022900145 1.412547842
157 158 159 160 161 162
-2.161614574 1.163899074 0.987305291 0.608168303 0.185528320 0.969713218
163 164 165 166 167 168
-0.046919945 -0.096341330 0.399871497 -0.200874870 1.620028064 0.899647117
169 170 171 172 173 174
0.507475659 0.275379401 0.706366476 0.246600927 0.761849259 0.596380511
175 176 177 178 179 180
0.029863574 -0.706948958 1.227480283 0.042923767 0.143873316 0.056364457
181 182 183 184 185 186
0.705108772 0.054256251 1.223580667 0.697314836 -0.042757690 0.122465040
187 188 189 190 191 192
1.232626028 1.651619523 -0.056469003 0.459139486 0.153072553 -0.222738013
193 194 195 196 197 198
0.384302634 0.568870693 0.471683842 0.520533072 1.116187127 0.044002319
199 200 201 202 203 204
1.051471392 1.269940841 0.629069930 0.429948892 1.724585375 -0.172857594
205 206 207 208 209 210
0.868216914 0.107957935 0.352571384 0.364747268 0.770224311 0.816083429
211 212 213 214 215 216
0.571489409 0.777030760 0.782219692 0.667098765 1.084124437 0.901731016
217 218 219 220 221 222
0.247695044 0.362204224 -0.197743030 -0.377736826 1.070576316 0.394639263
223 224 225 226 227 228
0.291721418 -0.062477499 1.714222755 1.033805156 0.501412300 0.760900025
229 230 231 232 233 234
0.826594785 0.711173561 0.639186532 -0.625206527 0.033551463 0.727749888
235 236 237 238 239 240
0.907876646 1.593907672 -1.140172870 0.660958796 0.621380899 1.763462749
241 242 243 244 245 246
-0.434492985 0.656338931 0.124760424 0.273196305 0.246998231 0.222125310
247 248 249 250 251 252
0.295469956 0.894142429 0.437049231 1.086272887 1.371755776 -0.296721708
253 254 255 256 257 258
0.967195054 0.627298266 0.252772010 -1.313480624 -0.509355288 -0.478881940
259 260 261 262 263 264
-0.325515831 0.547205656 -0.601101772 2.363744706 0.431201268 0.906859619
265 266 267 268 269 270
0.706825106 -0.183894543 0.295329417 0.315824556 1.401568637 0.262350582
271 272 273 274 275 276
1.239033746 -0.111404274 -0.630476084 0.084502679 0.866889307 0.537954541
277 278 279 280 281 282
0.782250252 0.017979502 0.655299606 0.987879547 0.640712619 0.237275829
283 284 285 286 287 288
0.305575965 -0.816336542 1.931106233 0.644375445 0.074991693 0.697713354
289 290 291 292 293 294
-0.328106490 0.690500120 0.068774959 0.592505636 2.772405816 0.190761175
295 296 297 298 299 300
0.312654473 0.261264336 0.322493390 0.525555386 0.812725950 1.415134473
301 302 303 304 305 306
0.530774788 0.702616037 0.468166808 1.122108665 0.369382796 0.090638346
307 308 309 310 311 312
0.850642823 0.381763007 -0.016940291 0.634238011 0.263173651 1.505716811
313 314 315 316 317 318
1.002715720 0.847661609 1.238014808 0.830339992 0.429916617 0.167470797
319 320 321 322 323 324
0.353834921 0.100081522 0.687942397 0.122362876 0.312322119 0.583949053
325 326 327 328 329 330
0.782976282 0.705781481 0.526837665 0.956758834 1.086879411 1.500710866
331 332 333 334 335 336
0.938407750 1.439690908 0.566244470 0.575214497 0.166275183 0.210831688
337 338 339 340 341 342
0.409363754 0.138477447 0.878998292 0.654885494 0.787499897 0.600264404
343 344 345 346 347 348
0.887884938 1.031987189 0.929545493 0.753197601 0.905986289 0.805627805
349 350 351 352 353 354
-0.124867344 0.987893605 0.685295731 -0.693119853 0.500687266 0.102110139
355 356 357 358 359 360
0.587104277 -0.014689118 0.524653050 0.031200953 -0.374944573 0.119701221
361 362 363 364 365 366
0.446330400 0.761400869 0.575692807 0.396842613 0.375281116 0.701277018
367 368 369 370 371 372
0.328588311 0.498558180 -0.952582851 1.292241665 -0.119952884 0.547207868
373 374 375 376 377 378
0.531802580 0.428788645 0.273224542 0.387696209 0.487856748 0.944943502
379 380 381 382 383 384
0.476915979 0.060493304 1.402204821 1.015091777 0.734317281 0.641170810
385 386 387 388 389 390
1.103043014 1.543876810 0.882295697 -0.318944193 0.403941828 0.282478952
391 392 393 394 395 396
-0.426367223 1.191325064 0.358128802 -0.035034331 0.896667120 0.153369511
397 398 399 400 401 402
-0.392247327 1.390192653 1.875617514 0.491894259 0.576391665 -0.084786632
403 404 405 406 407 408
0.371647779 0.069534106 0.788287962 0.583450433 0.706188513 -0.201275525
409 410 411 412 413 414
0.455281305 -0.307125812 0.623589241 -1.196507884 0.204283332 0.354050288
415 416 417 418 419 420
1.535879943 -0.241179099 1.788172243 -0.210512327 0.346655076 0.238307548
421 422 423 424 425 426
0.488328500 -0.164402465 -0.596504163 -0.343234692 1.107054084 1.431359028
427 428 429 430 431 432
0.482517332 0.228037461 0.111307762 -0.959625967 -1.705084194 0.287088211
433 434 435 436 437 438
-0.047701625 0.513156994 -0.292552181 -0.212045264 0.283659819 -0.131893712
439 440 441 442 443 444
0.050129716 0.199391068 -0.437520327 0.536424767 -1.073103793 -0.774830002
445 446 447 448 449 450
-0.906357575 -0.553097035 -0.809605678 0.154413024 -0.630795686 -1.067703921
451 452 453 454 455 456
-0.685973692 1.088243724 0.804462034 0.988895996 0.249940187 -0.776227263
457 458 459 460 461 462
-0.256684550 -0.070869506 -1.218897387 0.029258447 0.278485266 -1.142952694
463 464 465 466 467 468
-2.358735250 0.214039409 0.161378540 -0.630131892 -0.156790754 0.091473312
469 470 471 472 473 474
-0.732878303 1.490556853 -0.320930076 0.321168620 0.076744873 -0.329320679
475 476 477 478 479 480
0.416258232 -0.273612249 -0.989691070 -0.416786169 -0.731926322 -0.216576583
481 482 483 484 485 486
-0.045117798 0.332633040 0.417328939 -2.492732588 -1.327854158 0.196435769
487 488 489 490 491 492
-0.326710790 0.179247586 -0.633938652 0.461600144 0.002291133 0.727144959
493 494 495 496 497 498
-0.082217884 0.191967581 -0.513632157 -0.355700274 -0.555793245 -0.696145814
499 500 501 502 503 504
0.347973977 0.206163466 -0.219423678 0.137735424 0.391489533 -0.016423090
505 506 507 508 509 510
-0.384047168 -0.140949420 -0.169266027 0.412445287 -0.990384366 -0.178172059
511 512 513 514 515 516
-0.640920316 -0.663256008 0.284154133 -0.875727745 0.031455254 -0.630787974
517 518 519 520 521 522
-0.163113291 0.320755434 0.593382746 -0.472870415 0.235307400 -0.595962425
523 524 525 526 527 528
-0.602444089 0.072704929 -0.535890538 -0.455633926 0.135926292 -1.475319883
529 530 531 532 533 534
0.085130264 -0.413034009 0.442073583 -0.068700535 0.148741490 -0.355782436
535 536 537 538 539 540
-0.164212886 -0.152088122 -0.866942435 -0.673706077 -0.689196132 0.119258173
541 542 543 544 545 546
-0.653284172 -0.174150206 0.474602185 0.144139688 0.212523676 0.369799908
547 548 549 550 551 552
-0.605348377 -0.007911107 -0.129204301 0.269767791 -0.102403871 -0.713960329
553 554 555 556 557 558
0.140119549 0.580396944 -0.136165104 0.112293712 -0.230449260 0.108526836
559 560 561 562 563 564
-0.603635733 -0.792399900 0.306085719 -0.705521458 1.763033247 -0.026452158
565 566 567 568 569 570
-0.661306732 0.351697641 -0.062301873 -0.307452892 0.016801083 0.309494325
571 572 573 574 575 576
-0.614963342 -0.433920733 0.162858051 -0.315827379 0.016456316 -0.236768516
577 578 579 580 581 582
0.048547534 -0.303662925 0.864298074 -1.308603728 -0.206628086 1.318086359
583 584 585 586 587 588
-0.285824174 0.034867230 -0.782584358 -0.278489547 -0.363325973 -0.676517512
589 590 591 592 593 594
0.265027550 0.021561687 -0.293866213 -0.565805604 -0.862455103 -0.230220237
595 596 597 598 599 600
-1.083914224 0.645535659 -0.314128672 -0.314732156 1.049743379 -0.554675548
601 602 603 604 605 606
0.049588484 -0.621580155 -0.464356868 -0.077810224 -1.495783170 0.084137784
607 608 609 610 611 612
-0.512162615 -0.194128133 -0.084120825 -3.906347026 0.128413853 -0.278951965
613 614 615 616 617 618
-1.631914035 -0.037177296 0.412391094 -0.288688455 -1.457870244 0.522947540
619 620 621 622 623 624
0.346666560 0.211980013 -0.549919354 -0.239691785 -0.697115532 -0.329323471
625 626 627 628 629 630
0.014850266 1.346772604 -0.393229401 0.013349830 -0.451915743 -0.287623731
631 632 633 634 635 636
-0.604376985 -0.626856761 0.908318412 -0.125624919 0.256867162 -0.168017605
637 638 639 640 641 642
-0.177944356 0.655058016 -0.601230778 -1.429225927 0.498421045 -0.353486308
643 644 645 646 647 648
0.112999706 0.491449799 -0.788099946 -1.981270640 -1.184273212 -0.188449367
649 650 651 652 653 654
-0.046732572 -0.402121421 0.227470017 -0.583330264 0.426659151 -0.332277000
655 656 657 658 659 660
-0.507044477 -0.450368478 -0.343966106 -0.074624865 0.360422962 -0.455972314
661 662 663 664 665 666
-0.425511861 -0.640054555 -0.438184983 -0.444040042 1.580999252 0.401598587
667 668 669 670 671 672
0.351946456 0.163676761 0.253812727 1.299341860 0.133796947 0.857718582
673 674 675 676 677 678
-0.223018964 -0.265667928 -0.449823275 -0.214907136 0.692654009 0.226319554
679 680 681 682 683 684
-0.059943694 -1.648221120 0.080688701 -0.947745129 2.508021716 -0.267597282
685 686 687 688 689 690
-0.124106019 -0.246602723 0.012336604 -0.127888918 -0.759651601 -0.314703373
691 692 693 694 695 696
-0.723864247 1.291809943 -0.310326106 0.296478132 -0.032454965 -0.109117907
697 698 699 700 701 702
0.272848225 0.264641968 0.624406681 1.115570659 -0.077710978 1.015265608
703 704 705 706 707 708
-0.142403803 0.854757403 0.193999873 -1.163091817 0.104402127 0.515030157
709 710 711 712 713 714
-0.026517726 0.099283446 -0.747921521 -0.633285675 0.616158093 -0.119774057
715 716 717 718 719 720
-1.330857834 -0.093637106 0.296371157 -0.051010253 -0.313500501 -0.591817258
721 722 723 724 725 726
0.507966459 -0.603833074 1.719743164 0.398116631 -0.513333362 -0.793715290
727 728 729 730 731 732
0.116712925 -1.452419141 -4.324893897 -0.745657319 -0.519324474 -1.240108107
733 734 735 736 737 738
0.555932949 -0.136846644 0.084245300 -0.499512870 0.438458277 0.023406332
739 740 741 742 743 744
0.020841652 -0.216285677 0.554327452 -0.038193500 -0.518947359 -0.140832594
745 746 747 748 749 750
-0.395945114 -1.173602479 -1.040161908 -0.059307121 0.076191022 -0.727001208
751 752 753
0.694574075 0.117247436 -0.383033528
1 2 3 4 5 6
3.434635e-01 6.347329e-01 5.456054e-01 7.320759e-01 6.442474e-01 8.697854e-01
7 8 9 10 11 12
9.211212e-01 3.781457e-01 7.514676e-01 7.720886e-01 7.245963e-01 6.868681e-01
13 14 15 16 17 18
2.933306e-01 4.410772e-01 6.154023e-01 5.248815e-01 7.375117e-01 7.483020e-01
19 20 21 22 23 24
6.160190e-01 8.988851e-01 8.326279e-01 7.466246e-01 6.072148e-01 6.288390e-01
25 26 27 28 29 30
4.721885e-01 7.953184e-01 4.809007e-01 7.273021e-01 8.299525e-01 6.894798e-01
31 32 33 34 35 36
7.288254e-01 5.618770e-01 8.482876e-01 6.758300e-01 8.952942e-01 5.614249e-01
37 38 39 40 41 42
8.223979e-01 7.693599e-01 8.890451e-01 9.282321e-01 1.238135e-01 7.920944e-01
43 44 45 46 47 48
3.985612e-01 5.623837e-01 6.064111e-01 5.361700e-01 8.987209e-01 8.208861e-01
49 50 51 52 53 54
6.192068e-01 7.123451e-01 6.769767e-01 5.890880e-01 8.007824e-01 4.074847e-01
55 56 57 58 59 60
5.596452e-01 8.407435e-01 8.920446e-01 9.514440e-01 8.672901e-01 3.112710e-01
61 62 63 64 65 66
8.272445e-01 8.284412e-01 4.547448e-01 6.142449e-01 8.257500e-01 5.059667e-01
67 68 69 70 71 72
8.073490e-01 4.682449e-01 7.463356e-01 5.289322e-01 5.830073e-01 5.746155e-01
73 74 75 76 77 78
7.166166e-01 4.141623e-01 6.846243e-01 8.700979e-01 3.429584e-01 9.130374e-01
79 80 81 82 83 84
3.032505e-01 5.268498e-01 2.771916e-01 6.033556e-01 6.091688e-01 1.104458e-01
85 86 87 88 89 90
7.595085e-01 9.808696e-01 7.538192e-01 5.040196e-01 6.553165e-01 3.508427e-01
91 92 93 94 95 96
7.937127e-01 8.809117e-02 6.676801e-01 5.317447e-01 5.878583e-01 6.094670e-01
97 98 99 100 101 102
6.281152e-01 7.186374e-01 6.509719e-01 8.508612e-01 7.581393e-01 5.728247e-01
103 104 105 106 107 108
4.001062e-01 9.630351e-01 6.367537e-01 5.837235e-01 8.102454e-01 6.785158e-01
109 110 111 112 113 114
8.123824e-01 4.754496e-01 3.364068e-01 7.338530e-01 7.129048e-01 9.257650e-01
115 116 117 118 119 120
8.837141e-01 4.474801e-01 6.312939e-01 9.364211e-01 7.797891e-01 5.681708e-01
121 122 123 124 125 126
8.136678e-01 6.432740e-01 7.396152e-01 7.778665e-01 8.832579e-01 5.741733e-01
127 128 129 130 131 132
7.205945e-01 3.794073e-01 8.766159e-01 4.597697e-01 3.401695e-01 6.137333e-01
133 134 135 136 137 138
5.942872e-01 8.324177e-01 5.460978e-01 5.688686e-01 5.930685e-01 4.966366e-01
139 140 141 142 143 144
2.532363e-01 7.913150e-01 7.912354e-01 9.958615e-01 7.653128e-01 6.647659e-01
145 146 147 148 149 150
3.183867e-01 5.678762e-01 6.377227e-01 9.597632e-01 6.889684e-01 9.625336e-01
151 152 153 154 155 156
8.691697e-01 4.972255e-01 8.403075e-01 6.472346e-01 8.468225e-01 9.211056e-01
157 158 159 160 161 162
1.532395e-02 8.777675e-01 8.382535e-01 7.284621e-01 5.735927e-01 8.339053e-01
163 164 165 166 167 168
4.812885e-01 4.616247e-01 6.553744e-01 4.203982e-01 9.473869e-01 8.158460e-01
169 170 171 172 173 174
6.940894e-01 6.084876e-01 7.600199e-01 5.973915e-01 7.769250e-01 7.245395e-01
175 176 177 178 179 180
5.119121e-01 2.397991e-01 8.901789e-01 5.171188e-01 5.571997e-01 5.224743e-01
181 182 183 184 185 186
7.596287e-01 5.216345e-01 8.894448e-01 7.571971e-01 4.829473e-01 5.487346e-01
187 188 189 190 191 192
8.911423e-01 9.506939e-01 4.774841e-01 6.769330e-01 5.608295e-01 4.118697e-01
193 194 195 196 197 198
6.496229e-01 7.152781e-01 6.814238e-01 6.986540e-01 8.678290e-01 5.175487e-01
199 200 201 202 203 204
8.534789e-01 8.979471e-01 7.353484e-01 6.663836e-01 9.576989e-01 4.313817e-01
205 206 207 208 209 210
8.073622e-01 5.429855e-01 6.377951e-01 6.423500e-01 7.794166e-01 7.927738e-01
211 212 213 214 215 216
7.161660e-01 7.814297e-01 7.829573e-01 7.476455e-01 8.608452e-01 8.164001e-01
217 218 219 220 221 222
5.978148e-01 6.414003e-01 4.216231e-01 3.528131e-01 8.578200e-01 6.534454e-01
223 224 225 226 227 228
6.147502e-01 4.750913e-01 9.567561e-01 8.493864e-01 6.919595e-01 7.766416e-01
229 230 231 232 233 234
7.957666e-01 7.615117e-01 7.386492e-01 2.659178e-01 5.133826e-01 7.666166e-01
235 236 237 238 239 240
8.180283e-01 9.445216e-01 1.271071e-01 7.456806e-01 7.328255e-01 9.610888e-01
241 242 243 244 245 246
3.319652e-01 7.441970e-01 5.496434e-01 6.076488e-01 5.975452e-01 5.878918e-01
247 248 249 250 251 252
6.161826e-01 8.143772e-01 6.689622e-01 8.613209e-01 9.149303e-01 3.833395e-01
253 254 255 256 257 258
8.332767e-01 7.347681e-01 5.997778e-01 9.451052e-02 3.052516e-01 3.160113e-01
259 260 261 262 263 264
3.723954e-01 7.078813e-01 2.738861e-01 9.909544e-01 6.668390e-01 8.177595e-01
265 266 267 268 269 270
7.601624e-01 4.270481e-01 6.161289e-01 6.239322e-01 9.194780e-01 6.034744e-01
271 272 273 274 275 276
8.923335e-01 4.556479e-01 2.641916e-01 5.336716e-01 8.069987e-01 7.046958e-01
277 278 279 280 281 282
7.829662e-01 5.071724e-01 7.438626e-01 8.383942e-01 7.391453e-01 5.937786e-01
283 284 285 286 287 288
6.200362e-01 2.071538e-01 9.732650e-01 7.403340e-01 5.298893e-01 7.573218e-01
289 290 291 292 293 294
3.714156e-01 7.550601e-01 5.274156e-01 7.232440e-01 9.972178e-01 5.756436e-01
295 296 297 298 299 300
6.227284e-01 6.030557e-01 6.264605e-01 7.004014e-01 7.918124e-01 9.214855e-01
301 302 303 304 305 306
7.022126e-01 7.588525e-01 6.801673e-01 8.690919e-01 6.440788e-01 5.361100e-01
307 308 309 310 311 312
8.025161e-01 6.486814e-01 4.932421e-01 7.370372e-01 6.037916e-01 9.339301e-01
313 314 315 316 317 318
8.420010e-01 8.016868e-01 8.921447e-01 7.968267e-01 6.663719e-01 5.665002e-01
319 320 321 322 323 324
6.382687e-01 5.398602e-01 7.542555e-01 5.486942e-01 6.226021e-01 7.203727e-01
325 326 327 328 329 330
7.831795e-01 7.598380e-01 7.008468e-01 8.306555e-01 8.614549e-01 9.332848e-01
331 332 333 334 335 336
8.259825e-01 9.250226e-01 7.143862e-01 7.174269e-01 5.660298e-01 5.834907e-01
337 338 339 340 341 342
6.588636e-01 5.550685e-01 8.102989e-01 7.437293e-01 7.845054e-01 7.258350e-01
343 344 345 346 347 348
8.126987e-01 8.489609e-01 8.236968e-01 7.743344e-01 8.175284e-01 7.897713e-01
349 350 351 352 353 354
4.503143e-01 8.383976e-01 7.534213e-01 2.441172e-01 6.917044e-01 5.406654e-01
355 356 357 358 359 360
7.214332e-01 4.941401e-01 7.000878e-01 5.124454e-01 3.538508e-01 5.476401e-01
361 362 363 364 365 366
6.723207e-01 7.767912e-01 7.175886e-01 6.542582e-01 6.462743e-01 7.584349e-01
367 368 369 370 371 372
6.287666e-01 6.909547e-01 1.704007e-01 9.018633e-01 4.522602e-01 7.078820e-01
373 374 375 376 377 378
7.025686e-01 6.659615e-01 6.076597e-01 6.508796e-01 6.871743e-01 8.276561e-01
379 380 381 382 383 384
6.832890e-01 5.241186e-01 9.195730e-01 8.449690e-01 7.686223e-01 7.392941e-01
385 386 387 388 389 390
8.649958e-01 9.386909e-01 8.111915e-01 3.748844e-01 6.568723e-01 6.112119e-01
391 392 393 394 395 396
3.349201e-01 8.832370e-01 6.398765e-01 4.860262e-01 8.150517e-01 5.609466e-01
397 398 399 400 401 402
3.474377e-01 9.177648e-01 9.696461e-01 6.886030e-01 7.178248e-01 4.662155e-01
403 404 405 406 407 408
6.449224e-01 5.277178e-01 7.847359e-01 7.202049e-01 7.599645e-01 4.202416e-01
409 410 411 412 413 414
6.755466e-01 3.793738e-01 7.335513e-01 1.157492e-01 5.809340e-01 6.383494e-01
415 416 417 418 419 420
9.377161e-01 4.047082e-01 9.631259e-01 4.166339e-01 6.355748e-01 5.941787e-01
421 422 423 424 425 426
6.873414e-01 4.347072e-01 2.754192e-01 3.657110e-01 8.658647e-01 9.238363e-01
427 428 429 430 431 432
6.852808e-01 5.901914e-01 5.443138e-01 1.686217e-01 4.408936e-02 6.129776e-01
433 434 435 436 437 438
4.809770e-01 6.960792e-01 3.849322e-01 4.160359e-01 6.116645e-01 4.475342e-01
439 440 441 442 443 444
5.199905e-01 5.790216e-01 3.308670e-01 7.041675e-01 1.416123e-01 2.192201e-01
445 446 447 448 449 450
1.823733e-01 2.900985e-01 2.090834e-01 5.613580e-01 2.640871e-01 1.428270e-01
451 452 453 454 455 456
2.463648e-01 8.617562e-01 7.894349e-01 8.386430e-01 5.986832e-01 2.188074e-01
457 458 459 460 461 462
3.987111e-01 4.717508e-01 1.114416e-01 5.116708e-01 6.096801e-01 1.265291e-01
463 464 465 466 467 468
9.168666e-03 5.847418e-01 5.641024e-01 2.643041e-01 4.377049e-01 5.364417e-01
469 470 471 472 473 474
2.318163e-01 9.319611e-01 3.741317e-01 6.259587e-01 5.305867e-01 3.709567e-01
475 476 477 478 479 480
6.613895e-01 3.921913e-01 1.611626e-01 3.384174e-01 2.321068e-01 4.142692e-01
481 482 483 484 485 486
4.820067e-01 6.302943e-01 6.617811e-01 6.338214e-03 9.211315e-02 5.778654e-01
487 488 489 490 491 492
3.719433e-01 5.711283e-01 2.630604e-01 6.778160e-01 5.009140e-01 7.664314e-01
493 494 495 496 497 498
4.672367e-01 5.761162e-01 3.037546e-01 3.610325e-01 2.891761e-01 2.431688e-01
499 500 501 502 503 504
6.360701e-01 5.816684e-01 4.131600e-01 5.547752e-01 6.522823e-01 4.934484e-01
505 506 507 508 509 510
3.504717e-01 4.439550e-01 4.327937e-01 6.599935e-01 1.609931e-01 4.292939e-01
511 512 513 514 515 516
2.607872e-01 2.535833e-01 6.118539e-01 1.905890e-01 5.125468e-01 2.640896e-01
517 518 519 520 521 522
4.352146e-01 6.258021e-01 7.235375e-01 3.181528e-01 5.930149e-01 2.756002e-01
523 524 525 526 527 528
2.734393e-01 5.289795e-01 2.960171e-01 3.243266e-01 5.540602e-01 7.006328e-02
529 530 531 532 533 534
5.339211e-01 3.397908e-01 6.707820e-01 4.726140e-01 5.591212e-01 3.610018e-01
535 536 537 538 539 540
4.347818e-01 4.395587e-01 1.929868e-01 2.502491e-01 2.453499e-01 5.474646e-01
541 542 543 544 545 546
2.567865e-01 4.308737e-01 6.824647e-01 5.573049e-01 5.841507e-01 6.442342e-01
547 548 549 550 551 552
2.724738e-01 4.968440e-01 4.485980e-01 6.063305e-01 4.592181e-01 2.376259e-01
553 554 555 556 557 558
5.557172e-01 7.191765e-01 4.458454e-01 5.447047e-01 4.088713e-01 5.432111e-01
559 560 561 562 563 564
2.730429e-01 2.140638e-01 6.202303e-01 2.402429e-01 9.610526e-01 4.894483e-01
565 566 567 568 569 570
2.542078e-01 6.374675e-01 4.751612e-01 3.792493e-01 5.067023e-01 6.215272e-01
571 572 573 574 575 576
2.692895e-01 3.321730e-01 5.646849e-01 3.760668e-01 5.065648e-01 4.064182e-01
577 578 579 580 581 582
5.193601e-01 3.806924e-01 8.062879e-01 9.533431e-02 4.181502e-01 9.062626e-01
583 584 585 586 587 588
3.875064e-01 5.139072e-01 2.169356e-01 3.903183e-01 3.581807e-01 2.493561e-01
589 590 591 592 593 594
6.045059e-01 5.086012e-01 3.844301e-01 2.857630e-01 1.942186e-01 4.089603e-01
595 596 597 598 599 600
1.392014e-01 7.407099e-01 3.767117e-01 3.764825e-01 8.530819e-01 2.895583e-01
601 602 603 604 605 606
5.197748e-01 2.671090e-01 3.211960e-01 4.689895e-01 6.735508e-02 5.335266e-01
607 608 609 610 611 612
3.042686e-01 4.230378e-01 4.664802e-01 4.685096e-05 5.510893e-01 3.901408e-01
613 614 615 616 617 618
5.134880e-02 4.851718e-01 6.599736e-01 3.864099e-01 7.243816e-02 6.994946e-01
619 620 621 622 623 624
6.355791e-01 5.839387e-01 2.911873e-01 4.052846e-01 2.428652e-01 3.709556e-01
625 626 627 628 629 630
5.059242e-01 9.109733e-01 3.470750e-01 5.053257e-01 3.256648e-01 3.868174e-01
631 632 633 634 635 636
2.727965e-01 2.653766e-01 8.181450e-01 4.500144e-01 6.013593e-01 4.332847e-01
637 638 639 640 641 642
4.293833e-01 7.437848e-01 2.738431e-01 7.646965e-02 6.909063e-01 3.618619e-01
643 644 645 646 647 648
5.449846e-01 6.884458e-01 2.153191e-01 2.378047e-02 1.181525e-01 4.252622e-01
649 650 651 652 653 654
4.813632e-01 3.437973e-01 5.899709e-01 2.798355e-01 6.651862e-01 3.698401e-01
655 656 657 658 659 660
3.060618e-01 3.262224e-01 3.654359e-01 4.702566e-01 6.407346e-01 3.242049e-01
661 662 663 664 665 666
3.352318e-01 2.610686e-01 3.306261e-01 3.285068e-01 9.430609e-01 6.560103e-01
667 668 669 670 671 672
6.375608e-01 5.650072e-01 6.001799e-01 9.030867e-01 5.532184e-01 8.044761e-01
673 674 675 676 677 678
4.117604e-01 3.952475e-01 3.264189e-01 4.149199e-01 7.557366e-01 5.895236e-01
679 680 681 682 683 684
4.761002e-01 4.965365e-02 5.321552e-01 1.716296e-01 9.939295e-01 3.945047e-01
685 686 687 688 689 690
4.506157e-01 4.026078e-01 5.049215e-01 4.491184e-01 2.237314e-01 3.764934e-01
691 692 693 694 695 696
2.345745e-01 9.017885e-01 3.781565e-01 6.165675e-01 4.870546e-01 4.565545e-01
697 698 699 700 701 702
6.075151e-01 6.043574e-01 7.338197e-01 8.676970e-01 4.690290e-01 8.450104e-01
703 704 705 706 707 708
4.433805e-01 8.036573e-01 5.769120e-01 1.223961e-01 5.415749e-01 6.967340e-01
709 710 711 712 713 714
4.894222e-01 5.395434e-01 2.272537e-01 2.632736e-01 7.311049e-01 4.523311e-01
715 716 717 718 719 720
9.161790e-02 4.626987e-01 6.165267e-01 4.796587e-01 3.769502e-01 2.769865e-01
721 722 723 724 725 726
6.942616e-01 2.729773e-01 9.572604e-01 6.547279e-01 3.038591e-01 2.136806e-01
727 728 729 730 731 732
5.464562e-01 7.319255e-02 7.630265e-06 2.279372e-01 3.017672e-01 1.074677e-01
733 734 735 736 737 738
7.108717e-01 4.455760e-01 5.335693e-01 3.087091e-01 6.694729e-01 5.093369e-01
739 740 741 742 743 744
5.083140e-01 4.143825e-01 7.103226e-01 4.847667e-01 3.018987e-01 4.440011e-01
745 746 747 748 749 750
3.460728e-01 1.202771e-01 1.491323e-01 4.763537e-01 5.303664e-01 2.336126e-01
751 752 753
7.563389e-01 5.466680e-01 3.508475e-01
3 4 5 6 7 8 9
0.1145660 0.6191034 0.3698354 1.1253771 1.4126535 -0.3103545 0.6791153
3 4 5 6 7 8 9
0.5456054 0.7320759 0.6442474 0.8697854 0.9211212 0.3781457 0.7514676
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