FIT OF THE TRIAL DATA BY GLS OLS estimate -5.949221 -0.138272 0.517961 0.407965 0.125106 0.051887 0.013144 -0.004468 Iteration 1 GLS estimate of beta -5.616258 -0.187185 0.407867 0.391625 0.228921 0.052795 0.013301 -0.007291 Iteration 2 GLS estimate of beta -5.701095 -0.152536 0.462973 0.407606 0.200916 0.053303 0.013576 -0.007366 Iteration 3 GLS estimate of beta -5.633654 -0.170517 0.441789 0.406612 0.225064 0.053245 0.013188 -0.007527 Iteration 4 GLS estimate of beta -5.664851 -0.15845 0.454241 0.406485 0.215385 0.053229 0.013445 -0.007512 Iteration 5 GLS estimate of beta -5.643136 -0.165377 0.448023 0.406958 0.221257 0.05325 0.013254 -0.007534 Iteration 6 GLS estimate of beta -5.655613 -0.161071 0.45166 0.406547 0.218259 0.053229 0.013376 -0.007527 Iteration 7 GLS estimate of beta -5.647749 -0.16366 0.449605 0.406846 0.220024 0.053243 0.013297 -0.007532 Iteration 8 GLS estimate of beta -5.652496 -0.162074 0.450827 0.406645 0.219017 0.053233 0.013346 -0.007529 Iteration 9 GLS estimate of beta -5.649574 -0.16304 0.450102 0.406775 0.219618 0.05324 0.013316 -0.007531 Iteration 10 GLS estimate of beta -5.651357 -0.162449 0.450539 0.406693 0.21926 0.053236 0.013335 -0.00753 Iteration 11 GLS estimate of beta -5.650265 -0.16281 0.450275 0.406744 0.219476 0.053238 0.013323 -0.007531 Iteration 12 GLS estimate of beta -5.650933 -0.162589 0.450436 0.406712 0.219345 0.053237 0.01333 -0.00753 Iteration 13 GLS estimate of beta -5.650524 -0.162724 0.450338 0.406732 0.219425 0.053238 0.013326 -0.00753 Iteration 14 GLS estimate of beta -5.650774 -0.162642 0.450397 0.40672 0.219376 0.053237 0.013328 -0.00753 Iteration 15 GLS estimate of beta -5.650621 -0.162692 0.450361 0.406727 0.219406 0.053237 0.013327 -0.00753 Iteration 16 GLS estimate of beta -5.650715 -0.162661 0.450383 0.406723 0.219388 0.053237 0.013328 -0.00753 Iteration 17 GLS estimate of beta -5.650658 -0.16268 0.45037 0.406725 0.219399 0.053237 0.013327 -0.00753 Iteration 18 GLS estimate of beta -5.650693 -0.162669 0.450378 0.406724 0.219392 0.053237 0.013328 -0.00753 Iteration 19 GLS estimate of beta -5.650671 -0.162676 0.450373 0.406725 0.219396 0.053237 0.013327 -0.00753 Iteration 20 GLS estimate of beta -5.650684 -0.162671 0.450376 0.406724 0.219394 0.053237 0.013328 -0.00753 Iteration 21 GLS estimate of beta -5.650676 -0.162674 0.450374 0.406725 0.219395 0.053237 0.013327 -0.00753 Iteration 22 GLS estimate of beta -5.650681 -0.162672 0.450375 0.406724 0.219394 0.053237 0.013327 -0.00753 Iteration 23 GLS estimate of beta -5.650678 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 24 GLS estimate of beta -5.65068 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 25 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 26 GLS estimate of beta -5.65068 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 27 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 28 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 29 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 30 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 31 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 32 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 33 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 34 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 35 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 36 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 37 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 38 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 39 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 40 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 41 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 42 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 43 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 44 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 45 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 46 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 47 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 48 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 49 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Iteration 50 GLS estimate of beta -5.650679 -0.162673 0.450375 0.406724 0.219395 0.053237 0.013327 -0.00753 Formula: ywt ~ weightfunc(x, b1, b2, b3, b4, b5, b6, b7, b8, wt) Parameters: Estimate Std. Error t value Pr(>|t|) b1 -5.650679 1.571063 -3.597 0.000355 *** b2 -0.162673 0.286284 -0.568 0.570143 b3 0.450375 0.287982 1.564 0.118484 b4 0.406724 0.381317 1.067 0.286662 b5 0.219395 0.345213 0.636 0.525376 b6 0.053237 0.015980 3.332 0.000929 *** b7 0.013327 0.008357 1.595 0.111408 b8 -0.007530 0.006170 -1.221 0.222834 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.003 on 492 degrees of freedom Number of iterations to convergence: 16 Achieved convergence tolerance: 5.467e-09