

 Iteration 0
 WSSR        : 4.26014e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707238

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 242181            delta(WSSR)/WSSR   : -16.5907
 delta(WSSR) : -4.01796e+06      limit for stopping : 1e-05
 lambda	  : 0.0707238

resultant parameter values

a               = 0.0614959
b               = 200.471
/

 Iteration 2
 WSSR        : 240032            delta(WSSR)/WSSR   : -0.00895106
 delta(WSSR) : -2148.54          limit for stopping : 1e-05
 lambda	  : 0.00707238

resultant parameter values

a               = -444.463
b               = 210.003
/

 Iteration 3
 WSSR        : 226547            delta(WSSR)/WSSR   : -0.0595252
 delta(WSSR) : -13485.3          limit for stopping : 1e-05
 lambda	  : 0.000707238

resultant parameter values

a               = -5849.75
b               = 313.784
/

 Iteration 4
 WSSR        : 226345            delta(WSSR)/WSSR   : -0.000894059
 delta(WSSR) : -202.365          limit for stopping : 1e-05
 lambda	  : 7.07238e-05

resultant parameter values

a               = -6596.93
b               = 328.13
/

 Iteration 5
 WSSR        : 226345            delta(WSSR)/WSSR   : -1.70837e-09
 delta(WSSR) : -0.00038668       limit for stopping : 1e-05
 lambda	  : 7.07238e-06

resultant parameter values

a               = -6597.96
b               = 328.15

After 5 iterations the fit converged.
final sum of squares of residuals : 226345
rel. change during last iteration : -1.70837e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 48.0587
variance of residuals (reduced chisquare) = WSSR/ndf   : 2309.64

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

a               = -6597.96         +/- 2528         (38.31%)
b               = 328.15           +/- 48.77        (14.86%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.995  1.000 


 Iteration 0
 WSSR        : 4.22366e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965827

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 239502            delta(WSSR)/WSSR   : -16.6352
 delta(WSSR) : -3.98416e+06      limit for stopping : 1e-05
 lambda	  : 0.0965827

resultant parameter values

aa              = 107.081
bb              = 100.912
/

 Iteration 2
 WSSR        : 226540            delta(WSSR)/WSSR   : -0.0572189
 delta(WSSR) : -12962.4          limit for stopping : 1e-05
 lambda	  : 0.00965827

resultant parameter values

aa              = 684.765
bb              = -435.571
/

 Iteration 3
 WSSR        : 200084            delta(WSSR)/WSSR   : -0.132222
 delta(WSSR) : -26455.4          limit for stopping : 1e-05
 lambda	  : 0.000965827

resultant parameter values

aa              = 3208.17
bb              = -2783.34
/

 Iteration 4
 WSSR        : 200034            delta(WSSR)/WSSR   : -0.000253269
 delta(WSSR) : -50.6622          limit for stopping : 1e-05
 lambda	  : 9.65827e-05

resultant parameter values

aa              = 3323.48
bb              = -2890.63
/

 Iteration 5
 WSSR        : 200034            delta(WSSR)/WSSR   : -5.28884e-11
 delta(WSSR) : -1.05794e-05      limit for stopping : 1e-05
 lambda	  : 9.65827e-06

resultant parameter values

aa              = 3323.53
bb              = -2890.68

After 5 iterations the fit converged.
final sum of squares of residuals : 200034
rel. change during last iteration : -5.28884e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 45.1792
variance of residuals (reduced chisquare) = WSSR/ndf   : 2041.16

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

aa              = 3323.53          +/- 732.3        (22.03%)
bb              = -2890.68         +/- 681.3        (23.57%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 4.73621e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965827

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 40116.1           delta(WSSR)/WSSR   : -117.063
 delta(WSSR) : -4.69609e+06      limit for stopping : 1e-05
 lambda	  : 0.0965827

resultant parameter values

aaa             = 101.443
bbb             = 123.174
/

 Iteration 2
 WSSR        : 26932.3           delta(WSSR)/WSSR   : -0.489513
 delta(WSSR) : -13183.7          limit for stopping : 1e-05
 lambda	  : 0.00965827

resultant parameter values

aaa             = -479.76
bbb             = 665.003
/

 Iteration 3
 WSSR        : 57.8749           delta(WSSR)/WSSR   : -464.354
 delta(WSSR) : -26874.5          limit for stopping : 1e-05
 lambda	  : 0.000965827

resultant parameter values

aaa             = -3023.07
bbb             = 3031.3
/

 Iteration 4
 WSSR        : 6.41023           delta(WSSR)/WSSR   : -8.02852
 delta(WSSR) : -51.4647          limit for stopping : 1e-05
 lambda	  : 9.65827e-05

resultant parameter values

aaa             = -3139.29
bbb             = 3139.43
/

 Iteration 5
 WSSR        : 6.41022           delta(WSSR)/WSSR   : -1.67651e-06
 delta(WSSR) : -1.07468e-05      limit for stopping : 1e-05
 lambda	  : 9.65827e-06

resultant parameter values

aaa             = -3139.34
bbb             = 3139.48

After 5 iterations the fit converged.
final sum of squares of residuals : 6.41022
rel. change during last iteration : -1.67651e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255755
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654104

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

aaa             = -3139.34         +/- 4.145        (0.132%)
bbb             = 3139.48          +/- 3.857        (0.1228%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
