

 Iteration 0
 WSSR        : 5.99179e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 7.79366e+06       delta(WSSR)/WSSR   : -6.68803
 delta(WSSR) : -5.21242e+07      limit for stopping : 1e-05
 lambda	  : 0.0707107

resultant parameter values

a               = 0.912087
b               = 719.388
/

 Iteration 2
 WSSR        : 7.79237e+06       delta(WSSR)/WSSR   : -0.000165833
 delta(WSSR) : -1292.23          limit for stopping : 1e-05
 lambda	  : 0.00707107

resultant parameter values

a               = -13.3174
b               = 722.981
/

 Iteration 3
 WSSR        : 7.79217e+06       delta(WSSR)/WSSR   : -2.596e-05
 delta(WSSR) : -202.284          limit for stopping : 1e-05
 lambda	  : 0.000707107

resultant parameter values

a               = -1435.35
b               = 723.089
/

 Iteration 4
 WSSR        : 7.7738e+06        delta(WSSR)/WSSR   : -0.00236201
 delta(WSSR) : -18361.8          limit for stopping : 1e-05
 lambda	  : 7.07107e-05

resultant parameter values

a               = -134733
b               = 733.18
/

 Iteration 5
 WSSR        : 7.64307e+06       delta(WSSR)/WSSR   : -0.0171044
 delta(WSSR) : -130730           limit for stopping : 1e-05
 lambda	  : 7.07107e-06

resultant parameter values

a               = -1.87024e+06
b               = 864.567
/

 Iteration 6
 WSSR        : 7.64082e+06       delta(WSSR)/WSSR   : -0.000295031
 delta(WSSR) : -2254.28          limit for stopping : 1e-05
 lambda	  : 7.07107e-07

resultant parameter values

a               = -2.12964e+06
b               = 884.204
/

 Iteration 7
 WSSR        : 7.64082e+06       delta(WSSR)/WSSR   : -6.5908e-10
 delta(WSSR) : -0.00503591       limit for stopping : 1e-05
 lambda	  : 7.07107e-08

resultant parameter values

a               = -2.13003e+06
b               = 884.233

After 7 iterations the fit converged.
final sum of squares of residuals : 7.64082e+06
rel. change during last iteration : -6.5908e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 279.227
variance of residuals (reduced chisquare) = WSSR/ndf   : 77967.5

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

a               = -2.13003e+06     +/- 1.528e+06    (71.73%)
b               = 884.233          +/- 119          (13.46%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.972  1.000 


 Iteration 0
 WSSR        : 5.98168e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.863373

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 7.78857e+06       delta(WSSR)/WSSR   : -6.68007
 delta(WSSR) : -5.20282e+07      limit for stopping : 1e-05
 lambda	  : 0.0863373

resultant parameter values

aa              = 343.804
bb              = 478.572
/

 Iteration 2
 WSSR        : 7.78396e+06       delta(WSSR)/WSSR   : -0.000593008
 delta(WSSR) : -4615.94          limit for stopping : 1e-05
 lambda	  : 0.00863373

resultant parameter values

aa              = 682.383
bb              = 244.962
/

 Iteration 3
 WSSR        : 7.78198e+06       delta(WSSR)/WSSR   : -0.000253695
 delta(WSSR) : -1974.25          limit for stopping : 1e-05
 lambda	  : 0.000863373

resultant parameter values

aa              = 1201.72
bb              = -118.872
/

 Iteration 4
 WSSR        : 7.78198e+06       delta(WSSR)/WSSR   : -6.03025e-08
 delta(WSSR) : -0.469273         limit for stopping : 1e-05
 lambda	  : 8.63373e-05

resultant parameter values

aa              = 1209.85
bb              = -124.568

After 4 iterations the fit converged.
final sum of squares of residuals : 7.78198e+06
rel. change during last iteration : -6.03025e-08

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 281.794
variance of residuals (reduced chisquare) = WSSR/ndf   : 79408

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aa              = 1209.85          +/- 3345         (276.5%)
bb              = -124.568         +/- 2343         (1881%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 705113            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.863373

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 5160.01           delta(WSSR)/WSSR   : -135.65
 delta(WSSR) : -699953           limit for stopping : 1e-05
 lambda	  : 0.0863373

resultant parameter values

aaa             = 38.5099
bbb             = 57.9699
/

 Iteration 2
 WSSR        : 4859.32           delta(WSSR)/WSSR   : -0.0618793
 delta(WSSR) : -300.691          limit for stopping : 1e-05
 lambda	  : 0.00863373

resultant parameter values

aaa             = -59.5982
bbb             = 127.118
/

 Iteration 3
 WSSR        : 4691.22           delta(WSSR)/WSSR   : -0.0358322
 delta(WSSR) : -168.097          limit for stopping : 1e-05
 lambda	  : 0.000863373

resultant parameter values

aaa             = -211.139
bbb             = 233.283
/

 Iteration 4
 WSSR        : 4691.18           delta(WSSR)/WSSR   : -8.51727e-06
 delta(WSSR) : -0.039956         limit for stopping : 1e-05
 lambda	  : 8.63373e-05

resultant parameter values

aaa             = -213.511
bbb             = 234.945

After 4 iterations the fit converged.
final sum of squares of residuals : 4691.18
rel. change during last iteration : -8.51727e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.91876
variance of residuals (reduced chisquare) = WSSR/ndf   : 47.8692

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaa             = -213.511         +/- 82.13        (38.46%)
bbb             = 234.945          +/- 57.54        (24.49%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
