FIT OF THE DISSOLUTION DATA BY GLS 
WITH POWER VARIANCE, THETA UNKNOWN AND ESTIMATED BY
      LOG 
 
 
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  1.0305 
 
Iteration  1 
GLS estimate of beta  50.60126 32.17764 0.900725 1.383683 13.66316 13.71904 
 
Iteration  2 
Estimate of theta  0.9109 
 
Iteration  2 
GLS estimate of beta  50.69891 32.22093 0.897841 1.382104 13.73188 13.69723 
 
Iteration  3 
Estimate of theta  0.9413 
 
Iteration  3 
GLS estimate of beta  50.67359 32.20902 0.898648 1.382552 13.71381 13.70323 
 
Iteration  4 
Estimate of theta  0.9317 
 
Iteration  4 
GLS estimate of beta  50.68168 32.21283 0.898391 1.382407 13.71959 13.70131 
 
Iteration  5 
Estimate of theta  0.9347 
 
Iteration  5 
GLS estimate of beta  50.67916 32.21165 0.898471 1.382452 13.71779 13.70191 
 
Iteration  6 
Estimate of theta  0.9338 
 
Iteration  6 
GLS estimate of beta  50.67995 32.21202 0.898446 1.382438 13.71835 13.70172 
 
Iteration  7 
Estimate of theta  0.9341 
 
Iteration  7 
GLS estimate of beta  50.6797 32.2119 0.898454 1.382442 13.71818 13.70178 
 
Iteration  8 
Estimate of theta  0.934 
 
Iteration  8 
GLS estimate of beta  50.67978 32.21194 0.898451 1.382441 13.71823 13.70176 
 
Iteration  9 
Estimate of theta  0.934 
 
Iteration  9 
GLS estimate of beta  50.67976 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  10 
Estimate of theta  0.934 
 
Iteration  10 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  11 
Estimate of theta  0.934 
 
Iteration  11 
GLS estimate of beta  50.67976 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  12 
Estimate of theta  0.934 
 
Iteration  12 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  13 
Estimate of theta  0.934 
 
Iteration  13 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  14 
Estimate of theta  0.934 
 
Iteration  14 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  15 
Estimate of theta  0.934 
 
Iteration  15 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  16 
Estimate of theta  0.934 
 
Iteration  16 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  17 
Estimate of theta  0.934 
 
Iteration  17 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  18 
Estimate of theta  0.934 
 
Iteration  18 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  19 
Estimate of theta  0.934 
 
Iteration  19 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Iteration  20 
Estimate of theta  0.934 
 
Iteration  20 
GLS estimate of beta  50.67977 32.21193 0.898452 1.382441 13.71822 13.70176 
 
Final estimate of sigma  0.055195 
 
Final estimate of theta  0.934011 
 

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

Parameters:
      Estimate Std. Error t value Pr(>|t|)    
W0     50.6798     1.4275  35.502  < 2e-16 ***
W1     32.2119     1.7262  18.660 2.78e-12 ***
beta0   0.8984     0.0270  33.277 3.35e-16 ***
beta1   1.3824     0.3207   4.310 0.000539 ***
tau0   13.7182     0.8348  16.434 1.93e-11 ***
tau1   13.7018     1.7896   7.656 9.76e-07 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.0552 on 16 degrees of freedom

Number of iterations to convergence: 5 
Achieved convergence tolerance: 3.767e-06