FIT OF THE DISSOLUTION DATA BY GLS 
WITH POWER VARIANCE, THETA UNKNOWN AND ESTIMATED BY
     IDENTITY 
 
 
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  0.9731 
 
Iteration  1 
GLS estimate of beta  50.65366 32.20246 0.899094 1.382706 13.70071 13.70648 
 
Iteration  2 
Estimate of theta  1.0572 
 
Iteration  2 
GLS estimate of beta  50.56565 32.15637 0.902053 1.384659 13.63562 13.72987 
 
Iteration  3 
Estimate of theta  1.0521 
 
Iteration  3 
GLS estimate of beta  50.57019 32.15783 0.90196 1.384608 13.63858 13.72914 
 
Iteration  4 
Estimate of theta  1.0522 
 
Iteration  4 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  5 
Estimate of theta  1.0522 
 
Iteration  5 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  6 
Estimate of theta  1.0522 
 
Iteration  6 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  7 
Estimate of theta  1.0522 
 
Iteration  7 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  8 
Estimate of theta  1.0522 
 
Iteration  8 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  9 
Estimate of theta  1.0522 
 
Iteration  9 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  10 
Estimate of theta  1.0522 
 
Iteration  10 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  11 
Estimate of theta  1.0522 
 
Iteration  11 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  12 
Estimate of theta  1.0522 
 
Iteration  12 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  13 
Estimate of theta  1.0522 
 
Iteration  13 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  14 
Estimate of theta  1.0522 
 
Iteration  14 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  15 
Estimate of theta  1.0522 
 
Iteration  15 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  16 
Estimate of theta  1.0522 
 
Iteration  16 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  17 
Estimate of theta  1.0522 
 
Iteration  17 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  18 
Estimate of theta  1.0522 
 
Iteration  18 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  19 
Estimate of theta  1.0522 
 
Iteration  19 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Iteration  20 
Estimate of theta  1.0522 
 
Iteration  20 
GLS estimate of beta  50.5701 32.15781 0.901961 1.384609 13.63853 13.72915 
 
Final estimate of sigma  0.036305 
 
Final estimate of theta  1.052227 
 

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

Parameters:
      Estimate Std. Error t value Pr(>|t|)    
W0    50.57010    1.44647  34.961  < 2e-16 ***
W1    32.15781    1.83504  17.524 7.26e-12 ***
beta0  0.90196    0.02501  36.066  < 2e-16 ***
beta1  1.38461    0.33726   4.105 0.000827 ***
tau0  13.63853    0.82246  16.583 1.68e-11 ***
tau1  13.72915    1.87506   7.322 1.72e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.0363 on 16 degrees of freedom

Number of iterations to convergence: 5 
Achieved convergence tolerance: 2.882e-06