FIT OF THE DISSOLUTION DATA BY GLS 
WITH POWER VARIANCE, THETA UNKNOWN AND ESTIMATED BY
      PL 
 
 
OLS estimate  51.14444 32.4096 0.877612 1.3788 14.00983 13.60494 
 
Estimate of assumed constant SD of y  1.897993 
 
 
Iteration  1 
Estimate of theta  0.9917 
 
Iteration  1 
GLS estimate of beta  50.63708 32.19458 0.899618 1.383012 13.68883 13.71047 
 
Iteration  2 
Estimate of theta  1.1202 
 
Iteration  2 
GLS estimate of beta  50.4993 32.12456 0.904004 1.385992 13.58759 13.74600 
 
Iteration  3 
Estimate of theta  1.1353 
 
Iteration  3 
GLS estimate of beta  50.48184 32.11491 0.904576 1.386417 13.57432 13.75092 
 
Iteration  4 
Estimate of theta  1.1372 
 
Iteration  4 
GLS estimate of beta  50.4797 32.11371 0.904647 1.38647 13.57269 13.75153 
 
Iteration  5 
Estimate of theta  1.1374 
 
Iteration  5 
GLS estimate of beta  50.47944 32.11356 0.904655 1.386476 13.57249 13.75160 
 
Iteration  6 
Estimate of theta  1.1374 
 
Iteration  6 
GLS estimate of beta  50.47941 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  7 
Estimate of theta  1.1374 
 
Iteration  7 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  8 
Estimate of theta  1.1374 
 
Iteration  8 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  9 
Estimate of theta  1.1374 
 
Iteration  9 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  10 
Estimate of theta  1.1374 
 
Iteration  10 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  11 
Estimate of theta  1.1374 
 
Iteration  11 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  12 
Estimate of theta  1.1374 
 
Iteration  12 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  13 
Estimate of theta  1.1374 
 
Iteration  13 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  14 
Estimate of theta  1.1374 
 
Iteration  14 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  15 
Estimate of theta  1.1374 
 
Iteration  15 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  16 
Estimate of theta  1.1374 
 
Iteration  16 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  17 
Estimate of theta  1.1374 
 
Iteration  17 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  18 
Estimate of theta  1.1374 
 
Iteration  18 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  19 
Estimate of theta  1.1374 
 
Iteration  19 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Iteration  20 
Estimate of theta  1.1374 
 
Iteration  20 
GLS estimate of beta  50.4794 32.11354 0.904656 1.386477 13.57246 13.75161 
 
Final estimate of sigma  0.027036 
 
Final estimate of theta  1.137408 
 

Formula: ywt ~ weightfunc(x, W0, W1, beta0, beta1, tau0, tau1, v, wt)

Parameters:
      Estimate Std. Error t value Pr(>|t|)    
W0    50.47940    1.46998  34.340  < 2e-16 ***
W1    32.11354    1.93274  16.616 1.63e-11 ***
beta0  0.90466    0.02385  37.927  < 2e-16 ***
beta1  1.38648    0.35235   3.935  0.00118 ** 
tau0  13.57246    0.81779  16.596 1.66e-11 ***
tau1  13.75161    1.95457   7.036 2.81e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.02704 on 16 degrees of freedom

Number of iterations to convergence: 5 
Achieved convergence tolerance: 2.457e-06