

 Iteration 0
 WSSR        : 5.11032e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707405

initial set of free parameter values

a               = 1
b               = 1
/

 Iteration 1
 WSSR        : 133043            delta(WSSR)/WSSR   : -37.4109
 delta(WSSR) : -4.97728e+06      limit for stopping : 1e-05
 lambda	  : 0.0707405

resultant parameter values

a               = 7.01136
b               = 222.817
/

 Iteration 2
 WSSR        : 132904            delta(WSSR)/WSSR   : -0.0010457
 delta(WSSR) : -138.979          limit for stopping : 1e-05
 lambda	  : 0.00707405

resultant parameter values

a               = -31.953
b               = 225.056
/

 Iteration 3
 WSSR        : 132800            delta(WSSR)/WSSR   : -0.000789741
 delta(WSSR) : -104.877          limit for stopping : 1e-05
 lambda	  : 0.000707405

resultant parameter values

a               = -510.263
b               = 238.92
/

 Iteration 4
 WSSR        : 132798            delta(WSSR)/WSSR   : -1.20626e-05
 delta(WSSR) : -1.60189          limit for stopping : 1e-05
 lambda	  : 7.07405e-05

resultant parameter values

a               = -577.038
b               = 240.856
/

 Iteration 5
 WSSR        : 132798            delta(WSSR)/WSSR   : -2.35098e-11
 delta(WSSR) : -3.12206e-06      limit for stopping : 1e-05
 lambda	  : 7.07405e-06

resultant parameter values

a               = -577.131
b               = 240.859

After 5 iterations the fit converged.
final sum of squares of residuals : 132798
rel. change during last iteration : -2.35098e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 36.8114
variance of residuals (reduced chisquare) = WSSR/ndf   : 1355.08

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

a               = -577.131         +/- 1945         (337%)
b               = 240.859          +/- 56.49        (23.46%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000 


 Iteration 0
 WSSR        : 5.0689e+06        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.979606

initial set of free parameter values

aa              = 1
bb              = 1
/

 Iteration 1
 WSSR        : 130467            delta(WSSR)/WSSR   : -37.852
 delta(WSSR) : -4.93843e+06      limit for stopping : 1e-05
 lambda	  : 0.0979606

resultant parameter values

aa              = 117.277
bb              = 110.637
/

 Iteration 2
 WSSR        : 120747            delta(WSSR)/WSSR   : -0.0804964
 delta(WSSR) : -9719.71          limit for stopping : 1e-05
 lambda	  : 0.00979606

resultant parameter values

aa              = 605.319
bb              = -356.181
/

 Iteration 3
 WSSR        : 98095.7           delta(WSSR)/WSSR   : -0.230912
 delta(WSSR) : -22651.5          limit for stopping : 1e-05
 lambda	  : 0.000979606

resultant parameter values

aa              = 3009.61
bb              = -2661.36
/

 Iteration 4
 WSSR        : 98040.5           delta(WSSR)/WSSR   : -0.000563368
 delta(WSSR) : -55.2329          limit for stopping : 1e-05
 lambda	  : 9.79606e-05

resultant parameter values

aa              = 3134.28
bb              = -2780.89
/

 Iteration 5
 WSSR        : 98040.5           delta(WSSR)/WSSR   : -1.51467e-10
 delta(WSSR) : -1.48499e-05      limit for stopping : 1e-05
 lambda	  : 9.79606e-06

resultant parameter values

aa              = 3134.35
bb              = -2780.95

After 5 iterations the fit converged.
final sum of squares of residuals : 98040.5
rel. change during last iteration : -1.51467e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 31.6293
variance of residuals (reduced chisquare) = WSSR/ndf   : 1000.41

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

aa              = 3134.35          +/- 530.8        (16.94%)
bb              = -2780.95         +/- 509          (18.3%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


 Iteration 0
 WSSR        : 1.66067e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.979606

initial set of free parameter values

aaa             = 1
bbb             = 1
/

 Iteration 1
 WSSR        : 36419.3           delta(WSSR)/WSSR   : -44.5986
 delta(WSSR) : -1.62425e+06      limit for stopping : 1e-05
 lambda	  : 0.0979606

resultant parameter values

aaa             = 58.1781
bbb             = 72.9877
/

 Iteration 2
 WSSR        : 25572.1           delta(WSSR)/WSSR   : -0.424182
 delta(WSSR) : -10847.2          limit for stopping : 1e-05
 lambda	  : 0.00979606

resultant parameter values

aaa             = -458.802
bbb             = 569.291
/

 Iteration 3
 WSSR        : 65.9436           delta(WSSR)/WSSR   : -386.787
 delta(WSSR) : -25506.2          limit for stopping : 1e-05
 lambda	  : 0.000979606

resultant parameter values

aaa             = -3010.11
bbb             = 3015.42
/

 Iteration 4
 WSSR        : 3.74987           delta(WSSR)/WSSR   : -16.5856
 delta(WSSR) : -62.1938          limit for stopping : 1e-05
 lambda	  : 9.79606e-05

resultant parameter values

aaa             = -3142.4
bbb             = 3142.26
/

 Iteration 5
 WSSR        : 3.74985           delta(WSSR)/WSSR   : -4.45921e-06
 delta(WSSR) : -1.67214e-05      limit for stopping : 1e-05
 lambda	  : 9.79606e-06

resultant parameter values

aaa             = -3142.46
bbb             = 3142.32

After 5 iterations the fit converged.
final sum of squares of residuals : 3.74985
rel. change during last iteration : -4.45921e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.195611
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0382638

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

aaa             = -3142.46         +/- 3.283        (0.1045%)
bbb             = 3142.32          +/- 3.148        (0.1002%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
