

 Iteration 0
 WSSR        : 8.65799e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707234

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 422995            delta(WSSR)/WSSR   : -19.4683
 delta(WSSR) : -8.235e+06        limit for stopping : 1e-05
 lambda	  : 0.0707234

resultant parameter values

a               = -4.94625
b               = 203.522
/

 Iteration 2
 WSSR        : 415042            delta(WSSR)/WSSR   : -0.0191613
 delta(WSSR) : -7952.76          limit for stopping : 1e-05
 lambda	  : 0.00707234

resultant parameter values

a               = -864.859
b               = 220.257
/

 Iteration 3
 WSSR        : 387879            delta(WSSR)/WSSR   : -0.0700308
 delta(WSSR) : -27163.5          limit for stopping : 1e-05
 lambda	  : 0.000707234

resultant parameter values

a               = -6772.19
b               = 331.747
/

 Iteration 4
 WSSR        : 387750            delta(WSSR)/WSSR   : -0.000332164
 delta(WSSR) : -128.797          limit for stopping : 1e-05
 lambda	  : 7.07234e-05

resultant parameter values

a               = -7207.61
b               = 339.965
/

 Iteration 5
 WSSR        : 387750            delta(WSSR)/WSSR   : -1.80465e-10
 delta(WSSR) : -6.99755e-05      limit for stopping : 1e-05
 lambda	  : 7.07234e-06

resultant parameter values

a               = -7207.93
b               = 339.971

After 5 iterations the fit converged.
final sum of squares of residuals : 387750
rel. change during last iteration : -1.80465e-10

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 44.2531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1958.33

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

a               = -7207.93         +/- 1699         (23.57%)
b               = 339.971          +/- 32.22        (9.477%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.995  1.000 


 Iteration 0
 WSSR        : 8.58412e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965888

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 418736            delta(WSSR)/WSSR   : -19.5001
 delta(WSSR) : -8.16538e+06      limit for stopping : 1e-05
 lambda	  : 0.0965888

resultant parameter values

aa              = 112.257
bb              = 99.0225
/

 Iteration 2
 WSSR        : 395337            delta(WSSR)/WSSR   : -0.0591881
 delta(WSSR) : -23399.2          limit for stopping : 1e-05
 lambda	  : 0.00965888

resultant parameter values

aa              = 852.014
bb              = -588.836
/

 Iteration 3
 WSSR        : 374316            delta(WSSR)/WSSR   : -0.0561565
 delta(WSSR) : -21020.3          limit for stopping : 1e-05
 lambda	  : 0.000965888

resultant parameter values

aa              = 2450.37
bb              = -2076.15
/

 Iteration 4
 WSSR        : 374307            delta(WSSR)/WSSR   : -2.6247e-05
 delta(WSSR) : -9.82442          limit for stopping : 1e-05
 lambda	  : 9.65888e-05

resultant parameter values

aa              = 2485.68
bb              = -2109
/

 Iteration 5
 WSSR        : 374307            delta(WSSR)/WSSR   : -1.28123e-12
 delta(WSSR) : -4.79573e-07      limit for stopping : 1e-05
 lambda	  : 9.65888e-06

resultant parameter values

aa              = 2485.68
bb              = -2109

After 5 iterations the fit converged.
final sum of squares of residuals : 374307
rel. change during last iteration : -1.28123e-12

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.4792
variance of residuals (reduced chisquare) = WSSR/ndf   : 1890.44

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

aa              = 2485.68          +/- 489.8        (19.71%)
bb              = -2109            +/- 455.8        (21.61%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 9.43971e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965888

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 82262.8           delta(WSSR)/WSSR   : -113.751
 delta(WSSR) : -9.35745e+06      limit for stopping : 1e-05
 lambda	  : 0.0965888

resultant parameter values

aaa             = 93.9799
bbb             = 130.237
/

 Iteration 2
 WSSR        : 38961.1           delta(WSSR)/WSSR   : -1.11141
 delta(WSSR) : -43301.7          limit for stopping : 1e-05
 lambda	  : 0.00965888

resultant parameter values

aaa             = -912.157
bbb             = 1067.01
/

 Iteration 3
 WSSR        : 29.5535           delta(WSSR)/WSSR   : -1317.32
 delta(WSSR) : -38931.6          limit for stopping : 1e-05
 lambda	  : 0.000965888

resultant parameter values

aaa             = -3087.39
bbb             = 3091.12
/

 Iteration 4
 WSSR        : 11.3578           delta(WSSR)/WSSR   : -1.60205
 delta(WSSR) : -18.1958          limit for stopping : 1e-05
 lambda	  : 9.65888e-05

resultant parameter values

aaa             = -3135.43
bbb             = 3135.82
/

 Iteration 5
 WSSR        : 11.3578           delta(WSSR)/WSSR   : -7.81502e-08
 delta(WSSR) : -8.87612e-07      limit for stopping : 1e-05
 lambda	  : 9.65888e-06

resultant parameter values

aaa             = -3135.44
bbb             = 3135.83

After 5 iterations the fit converged.
final sum of squares of residuals : 11.3578
rel. change during last iteration : -7.81502e-08

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.239505
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0573625

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

aaa             = -3135.44         +/- 2.698        (0.08605%)
bbb             = 3135.83          +/- 2.511        (0.08006%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
