** FINAL OUTPUT FROM Boomer (v3.1.5) **      26 July 2005 ---  2:21:06 pm

 Title:  Bayesian Fit to Data                                        
 Input: From Keyboard
 Output:  To Fig2206.OUT                                                     
 Data for [Theophylline]  came from keyboard (or ?.BAT)                                             
 Fitting algorithm: Simplex Method             
 Weighting for [Theophylline]  by 1/a*Cp(Obs )^b                                    
      With a = 0.2500E-02 and b =  2.000    
 Bayesian Fitting to data: 
 Numerical integration method: 2) Fehlberg RKF45                          
          with  1 de(s)
 With relative error   0.1000E-03
 With absolute error   0.1000E-03
 PC =   0.1000E-04

                    ** FINAL PARAMETER VALUES ***

  #  Name                  Value       S.D.       C.V. %  Lower <-Limit-> Upper
              Population mean         S.D.        (Weight)  Weighted residual

  1) CL                     3.6134                            1.0       10.    
                        3.610        1.470        0.6803       0.2289E-02
  2) Vd                     29.331                            1.0      0.10E+03
                        30.10        4.200        0.2381      -0.1832    

 Final WSS =   0.385775E-01 R^2 =   1.0000     Corr. Coeff =   1.0000    
 AIC =   -2.51017     Log likelihood =   1.11     Schwartz Criteria =   -5.12388    
 R and R^2 - jp1     1.0000        1.0000    
 R and R^2 - jp2     1.0000        1.0000    

 ** FINAL OUTPUT FROM Boomer (v3.1.5) **      26 July 2005 ---  2:21:06 pm

 Title:  Bayesian Fit to Data                                        
 Input: From Keyboard
 Output:  To Fig2206.OUT                                                     
 Data for [Theophylline]  came from keyboard (or ?.BAT)                                             
 Fitting algorithm: DAMPING-GAUSS/SIMPLEX      
 Weighting for [Theophylline]  by 1/a*Cp(Obs )^b                                    
      With a = 0.2500E-02 and b =  2.000    
 Bayesian Fitting to data: 
 Numerical integration method: 2) Fehlberg RKF45                          
          with  1 de(s)
 With relative error   0.1000E-03
 With absolute error   0.1000E-03
 DT =   0.1000E-02     PC =   0.1000E-04 Loops =     1
 Damping =     1

                    ** FINAL PARAMETER VALUES ***

  #  Name                  Value       S.D.       C.V. %  Lower <-Limit-> Upper
              Population mean         S.D.        (Weight)  Weighted residual

  1) CL                     3.6134      0.904E-02  0.25       1.0       10.    
                        3.610        1.470        0.6803       0.2309E-02
  2) Vd                     29.330      0.822E-01  0.28       1.0      0.10E+03
                        30.10        4.200        0.2381      -0.1833    

 Final WSS =   0.385777E-01 R^2 =    1.000     Corr. Coeff =    1.000    
 AIC =   -2.51016     Log likelihood =   1.11     Schwartz Criteria =   -5.12387    
 R and R^2 - jp1     1.0000        1.0000    
 R and R^2 - jp2     1.0000        1.0000    

 Model and Parameter Definition

  #  Name                    Value       Type From To     Dep  Start Stop

  1) CL                  =   3.613       19    0    0       0    0    0
  2) Vd                  =   29.33       19    0    0       0    0    0
  3) kel                 =  0.1232        2    1    0 7001002    0    0
  4) V                   =   29.33       18    1    1 1002000    0    0
  5) Duration            =  0.5000        0    0    0       0    0    0
  6) k0                  =   1000.        3    0    1       0    0    1

 Data for [Theophylline]  :-

 DATA #   Time       Observed      Calculated    (Weight)  Weighted residual

     1    0.000       0.00000       0.00000       0.00000       0.00000    
     2   0.1250       0.00000       4.22917       0.00000       0.00000    
     3   0.2500       0.00000       8.39372       0.00000       0.00000    
     4   0.3750       0.00000       12.4946       0.00000       0.00000    
     5   0.5000       0.00000       16.5329       0.00000       0.00000    
     6   0.7500       0.00000       16.0314       0.00000       0.00000    
     7    1.000       15.6000       15.5452       1.28205      0.702675E-01
     8    1.500       0.00000       14.6165       0.00000       0.00000    
     9    2.000       0.00000       13.7433       0.00000       0.00000    
    10    4.000       0.00000       10.7420       0.00000       0.00000    
    11    6.000       0.00000       8.39608       0.00000       0.00000    
    12    9.000       5.80000       5.80182       3.44828     -0.625972E-02
    13    12.00       0.00000       4.00914       0.00000       0.00000    

     WSS for data set  1 =   0.4977E-02
               R^2 =    1.000     Corr. Coeff. =    1.000    
 R and R^2 - jp1     1.0000        1.0000    
 R and R^2 - jp2     1.0000        1.0000    


Plots of observed (*) and calculated values (+)
           versus time for [Theophylline] . Superimposed points (X)

    16.53      Linear                      16.53      Semi-log
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 |+                 +                    |+                 +                  
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 |X** * *     *     *                 *  |                                    +
 |_____________________________________  |X**_*_*_____*_____*_________________*
    0.000                                  4.009    
 0              <-->             12.     0              <-->             12.    
 Plot of Std Wtd Residuals (X)         Plot of Std Wtd  Residuals (X)
   versus time for [Theophylline]        versus log(calc Cp(i)) for [Theophylline] 

    1.290                                  1.290    
 |   X                                   |                                  X  
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 0XXX=X=X=====X=====X=================X  0XX================X======X==X==XX==XX
 |                           X           |         X                           
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  -0.1149                                -0.1149    
      0.0       <-->             12.          4.0       <-->             17.