

 Iteration 0
 WSSR        : 4.39785e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707229

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 179801            delta(WSSR)/WSSR   : -23.4596
 delta(WSSR) : -4.21805e+06      limit for stopping : 1e-05
 lambda	  : 0.0707229

resultant parameter values

a               = 0.10554
b               = 205.376
/

 Iteration 2
 WSSR        : 177682            delta(WSSR)/WSSR   : -0.0119262
 delta(WSSR) : -2119.07          limit for stopping : 1e-05
 lambda	  : 0.00707229

resultant parameter values

a               = -442.088
b               = 214.599
/

 Iteration 3
 WSSR        : 161462            delta(WSSR)/WSSR   : -0.100457
 delta(WSSR) : -16219.9          limit for stopping : 1e-05
 lambda	  : 0.000707229

resultant parameter values

a               = -6845.57
b               = 333.36
/

 Iteration 4
 WSSR        : 161115            delta(WSSR)/WSSR   : -0.00215619
 delta(WSSR) : -347.393          limit for stopping : 1e-05
 lambda	  : 7.07229e-05

resultant parameter values

a               = -7928
b               = 353.436
/

 Iteration 5
 WSSR        : 161115            delta(WSSR)/WSSR   : -6.16109e-09
 delta(WSSR) : -0.000992642      limit for stopping : 1e-05
 lambda	  : 7.07229e-06

resultant parameter values

a               = -7929.84
b               = 353.47

After 5 iterations the fit converged.
final sum of squares of residuals : 161115
rel. change during last iteration : -6.16109e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.5466
variance of residuals (reduced chisquare) = WSSR/ndf   : 1644.03

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

a               = -7929.84         +/- 2359         (29.75%)
b               = 353.47           +/- 43.93        (12.43%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.996  1.000 


 Iteration 0
 WSSR        : 4.36045e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965948

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 178379            delta(WSSR)/WSSR   : -23.4448
 delta(WSSR) : -4.18208e+06      limit for stopping : 1e-05
 lambda	  : 0.0965948

resultant parameter values

aa              = 106.179
bb              = 106.601
/

 Iteration 2
 WSSR        : 174781            delta(WSSR)/WSSR   : -0.0205882
 delta(WSSR) : -3598.42          limit for stopping : 1e-05
 lambda	  : 0.00965948

resultant parameter values

aa              = 406.449
bb              = -171.828
/

 Iteration 3
 WSSR        : 168099            delta(WSSR)/WSSR   : -0.0397514
 delta(WSSR) : -6682.16          limit for stopping : 1e-05
 lambda	  : 0.000965948

resultant parameter values

aa              = 1636.25
bb              = -1316.34
/

 Iteration 4
 WSSR        : 168087            delta(WSSR)/WSSR   : -6.70231e-05
 delta(WSSR) : -11.2657          limit for stopping : 1e-05
 lambda	  : 9.65948e-05

resultant parameter values

aa              = 1688.84
bb              = -1365.28
/

 Iteration 5
 WSSR        : 168087            delta(WSSR)/WSSR   : -1.22569e-11
 delta(WSSR) : -2.06023e-06      limit for stopping : 1e-05
 lambda	  : 9.65948e-06

resultant parameter values

aa              = 1688.86
bb              = -1365.3

After 5 iterations the fit converged.
final sum of squares of residuals : 168087
rel. change during last iteration : -1.22569e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 41.4147
variance of residuals (reduced chisquare) = WSSR/ndf   : 1715.18

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

aa              = 1688.86          +/- 649.2        (38.44%)
bb              = -1365.3          +/- 604.2        (44.25%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 4.7035e+06        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965948

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 42656.2           delta(WSSR)/WSSR   : -109.265
 delta(WSSR) : -4.66085e+06      limit for stopping : 1e-05
 lambda	  : 0.0965948

resultant parameter values

aaa             = 100.574
bbb             = 123.147
/

 Iteration 2
 WSSR        : 27949.7           delta(WSSR)/WSSR   : -0.526177
 delta(WSSR) : -14706.5          limit for stopping : 1e-05
 lambda	  : 0.00965948

resultant parameter values

aaa             = -511.389
bbb             = 693.743
/

 Iteration 3
 WSSR        : 51.8214           delta(WSSR)/WSSR   : -538.347
 delta(WSSR) : -27897.9          limit for stopping : 1e-05
 lambda	  : 0.000965948

resultant parameter values

aaa             = -3024.2
bbb             = 3032.29
/

 Iteration 4
 WSSR        : 4.78714           delta(WSSR)/WSSR   : -9.82513
 delta(WSSR) : -47.0343          limit for stopping : 1e-05
 lambda	  : 9.65948e-05

resultant parameter values

aaa             = -3131.66
bbb             = 3132.3
/

 Iteration 5
 WSSR        : 4.78713           delta(WSSR)/WSSR   : -1.79666e-06
 delta(WSSR) : -8.60083e-06      limit for stopping : 1e-05
 lambda	  : 9.65948e-06

resultant parameter values

aaa             = -3131.71
bbb             = 3132.34

After 5 iterations the fit converged.
final sum of squares of residuals : 4.78713
rel. change during last iteration : -1.79666e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.221016
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0488483

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

aaa             = -3131.71         +/- 3.464        (0.1106%)
bbb             = 3132.34          +/- 3.224        (0.1029%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
