

 Iteration 0
 WSSR        : 4.34137e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707241

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 227857            delta(WSSR)/WSSR   : -18.053
 delta(WSSR) : -4.11351e+06      limit for stopping : 1e-05
 lambda	  : 0.0707241

resultant parameter values

a               = 2.72407
b               = 202.778
/

 Iteration 2
 WSSR        : 227318            delta(WSSR)/WSSR   : -0.00237422
 delta(WSSR) : -539.701          limit for stopping : 1e-05
 lambda	  : 0.00707241

resultant parameter values

a               = -203.128
b               = 207.783
/

 Iteration 3
 WSSR        : 224101            delta(WSSR)/WSSR   : -0.0143554
 delta(WSSR) : -3217.05          limit for stopping : 1e-05
 lambda	  : 0.000707241

resultant parameter values

a               = -2957.55
b               = 261.251
/

 Iteration 4
 WSSR        : 224042            delta(WSSR)/WSSR   : -0.000261723
 delta(WSSR) : -58.6368          limit for stopping : 1e-05
 lambda	  : 7.07241e-05

resultant parameter values

a               = -3382.33
b               = 269.497
/

 Iteration 5
 WSSR        : 224042            delta(WSSR)/WSSR   : -6.22481e-10
 delta(WSSR) : -0.000139462      limit for stopping : 1e-05
 lambda	  : 7.07241e-06

resultant parameter values

a               = -3382.99
b               = 269.51

After 5 iterations the fit converged.
final sum of squares of residuals : 224042
rel. change during last iteration : -6.22481e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 47.8136
variance of residuals (reduced chisquare) = WSSR/ndf   : 2286.14

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

a               = -3382.99         +/- 2656         (78.52%)
b               = 269.51           +/- 51.79        (19.22%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.996  1.000 


 Iteration 0
 WSSR        : 4.30453e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965399

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 227170            delta(WSSR)/WSSR   : -17.9485
 delta(WSSR) : -4.07736e+06      limit for stopping : 1e-05
 lambda	  : 0.0965399

resultant parameter values

aa              = 102.981
bb              = 107.131
/

 Iteration 2
 WSSR        : 226223            delta(WSSR)/WSSR   : -0.00418859
 delta(WSSR) : -947.555          limit for stopping : 1e-05
 lambda	  : 0.00965399

resultant parameter values

aa              = 252.273
bb              = -30.6331
/

 Iteration 3
 WSSR        : 224317            delta(WSSR)/WSSR   : -0.0084976
 delta(WSSR) : -1906.15          limit for stopping : 1e-05
 lambda	  : 0.000965399

resultant parameter values

aa              = 956.388
bb              = -685.114
/

 Iteration 4
 WSSR        : 224312            delta(WSSR)/WSSR   : -1.90727e-05
 delta(WSSR) : -4.27823          limit for stopping : 1e-05
 lambda	  : 9.65399e-05

resultant parameter values

aa              = 991.346
bb              = -717.608
/

 Iteration 5
 WSSR        : 224312            delta(WSSR)/WSSR   : -4.70138e-12
 delta(WSSR) : -1.05458e-06      limit for stopping : 1e-05
 lambda	  : 9.65399e-06

resultant parameter values

aa              = 991.364
bb              = -717.625

After 5 iterations the fit converged.
final sum of squares of residuals : 224312
rel. change during last iteration : -4.70138e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 47.8425
variance of residuals (reduced chisquare) = WSSR/ndf   : 2288.9

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

aa              = 991.364          +/- 809          (81.6%)
bb              = -717.625         +/- 752          (104.8%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 4.85341e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965399

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 37027.2           delta(WSSR)/WSSR   : -130.077
 delta(WSSR) : -4.81638e+06      limit for stopping : 1e-05
 lambda	  : 0.0965399

resultant parameter values

aaa             = 103.355
bbb             = 124.231
/

 Iteration 2
 WSSR        : 25575.9           delta(WSSR)/WSSR   : -0.447736
 delta(WSSR) : -11451.3          limit for stopping : 1e-05
 lambda	  : 0.00965399

resultant parameter values

aaa             = -440.459
bbb             = 630.803
/

 Iteration 3
 WSSR        : 62.2579           delta(WSSR)/WSSR   : -409.806
 delta(WSSR) : -25513.7          limit for stopping : 1e-05
 lambda	  : 0.000965399

resultant parameter values

aaa             = -3016.49
bbb             = 3025.25
/

 Iteration 4
 WSSR        : 4.99407           delta(WSSR)/WSSR   : -11.4664
 delta(WSSR) : -57.2638          limit for stopping : 1e-05
 lambda	  : 9.65399e-05

resultant parameter values

aaa             = -3144.39
bbb             = 3144.13
/

 Iteration 5
 WSSR        : 4.99405           delta(WSSR)/WSSR   : -2.82643e-06
 delta(WSSR) : -1.41153e-05      limit for stopping : 1e-05
 lambda	  : 9.65399e-06

resultant parameter values

aaa             = -3144.45
bbb             = 3144.19

After 5 iterations the fit converged.
final sum of squares of residuals : 4.99405
rel. change during last iteration : -2.82643e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225743
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0509597

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

aaa             = -3144.45         +/- 3.817        (0.1214%)
bbb             = 3144.19          +/- 3.548        (0.1128%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
