

*******************************************************************************
Mon Nov 01 15:46:45 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.288e+008        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = 1
B               = 1

After 7 iterations the fit converged.
final sum of squares of residuals : 829551
rel. change during last iteration : -3.94533e-011

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.421
variance of residuals (reduced chisquare) = WSSR/ndf   : 59253.6

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

A               = -341.796         +/- 13.2         (3.862%)
B               = -56785.8         +/- 2278         (4.012%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:47:58 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 902539            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -341.796
B               = -56785.8

After 6 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : -1.75467e-006

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:53:48 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 805946            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 1 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:53:48 2010


FIT:    data read from 'prvni.dat' using 1:5
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.08849e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0

initial set of free parameter values

K               = 1
L               = 1
S               = 1
BREAK:          Singular matrix in Givens()



*******************************************************************************
Mon Nov 01 15:54:02 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 805946            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 1 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:54:02 2010


FIT:    data read from 'prvni.dat' using 1:5
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 36778             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0

initial set of free parameter values

K               = 1
L               = 1
S               = 1.001
BREAK:          Singular matrix in Givens()



*******************************************************************************
Mon Nov 01 15:54:23 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 805946            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 1 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:54:23 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.13562e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0

initial set of free parameter values

K               = 1
L               = 1
S               = 1.002
BREAK:          Singular matrix in Givens()



*******************************************************************************
Mon Nov 01 15:54:41 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.25834e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = 1
B               = 1

After 7 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : -4.28314e-011

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:54:41 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.13562e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0

initial set of free parameter values

K               = 1
L               = 1
S               = 1
BREAK:          Singular matrix in Givens()



*******************************************************************************
Mon Nov 01 15:56:00 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 805946            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 1 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 15:56:00 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 6.83521e+007      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 754.869

initial set of free parameter values

K               = 5000
L               = 180
S               = 1.001

After 8 iterations the fit converged.
final sum of squares of residuals : 117752
rel. change during last iteration : -2.47162e-016

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 95.1728
variance of residuals (reduced chisquare) = WSSR/ndf   : 9057.85

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

K               = 4594.48          +/- 83.58        (1.819%)
L               = 180.108          +/- 0.3107       (0.1725%)
S               = 5.62187          +/- 0.1922       (3.418%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.806  1.000 
S               0.621  0.925  1.000 


*******************************************************************************
Mon Nov 01 16:20:59 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 805946            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 122.022

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 1 iterations the fit converged.
final sum of squares of residuals : 805946
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 14
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 239.932
variance of residuals (reduced chisquare) = WSSR/ndf   : 57567.6

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

A               = -350.331         +/- 13.01        (3.714%)
B               = -58325.1         +/- 2245         (3.85%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Nov 01 16:20:59 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 16
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.24092e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.299

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62187

After 7 iterations the fit converged.
final sum of squares of residuals : 117752
rel. change during last iteration : -6.33479e-009

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 95.1728
variance of residuals (reduced chisquare) = WSSR/ndf   : 9057.85

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

K               = 4594.69          +/- 83.61        (1.82%)
L               = 180.109          +/- 0.3108       (0.1725%)
S               = 5.62231          +/- 0.1922       (3.419%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.806  1.000 
S               0.621  0.925  1.000 


*******************************************************************************
Mon Nov 01 16:38:04 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 3.27285e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 125.78

initial set of free parameter values

A               = -350.331
B               = -58325.1

After 6 iterations the fit converged.
final sum of squares of residuals : 6.24227e+007
rel. change during last iteration : -9.53715e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1684.46
variance of residuals (reduced chisquare) = WSSR/ndf   : 2.8374e+006

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

A               = -29.7252         +/- 39.82        (134%)
B               = -3200.64         +/- 7083         (221.3%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.999  1.000 


*******************************************************************************
Mon Nov 01 16:38:04 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58765e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.408

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62231

After 6 iterations the fit converged.
final sum of squares of residuals : 183050
rel. change during last iteration : -4.6049e-007

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 93.3631
variance of residuals (reduced chisquare) = WSSR/ndf   : 8716.68

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

K               = 4604.67          +/- 40.45        (0.8785%)
L               = 180.124          +/- 0.06236      (0.03462%)
S               = 5.62023          +/- 0.05952      (1.059%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.125  1.000 
S              -0.524  0.189  1.000 


*******************************************************************************
Mon Nov 01 16:39:22 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 6.87935e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = -29.7252
B               = -3200.64

After 4 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -3.44282e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:39:22 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58167e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.472

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62023

After 6 iterations the fit converged.
final sum of squares of residuals : 183050
rel. change during last iteration : -4.61568e-007

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 93.3631
variance of residuals (reduced chisquare) = WSSR/ndf   : 8716.68

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

K               = 4604.67          +/- 40.45        (0.8785%)
L               = 180.124          +/- 0.06236      (0.03462%)
S               = 5.62023          +/- 0.05952      (1.059%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.125  1.000 
S              -0.524  0.189  1.000 


*******************************************************************************
Mon Nov 01 16:40:49 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 350.854
B               = 4770.42

After 1 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:40:49 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58167e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.472

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62023

After 6 iterations the fit converged.
final sum of squares of residuals : 183050
rel. change during last iteration : -4.61568e-007

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 93.3631
variance of residuals (reduced chisquare) = WSSR/ndf   : 8716.68

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

K               = 4604.67          +/- 40.45        (0.8785%)
L               = 180.124          +/- 0.06236      (0.03462%)
S               = 5.62023          +/- 0.05952      (1.059%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.125  1.000 
S              -0.524  0.189  1.000 


*******************************************************************************
Mon Nov 01 16:41:28 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.632

initial set of free parameter values

A               = 350.854
B               = 4770.42
C               = 180

After 5 iterations the fit converged.
final sum of squares of residuals : 1.25602e+006
rel. change during last iteration : -1.4062e-008

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 244.561
variance of residuals (reduced chisquare) = WSSR/ndf   : 59810.3

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

A               = 351.359          +/- 10.85        (3.088%)
B               = 4790.38          +/- 99.37        (2.074%)
C               = 180.137          +/- 0.1507       (0.08368%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.846  1.000 
C               0.023  0.197  1.000 


*******************************************************************************
Mon Nov 01 16:41:29 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58167e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.472

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62023

After 6 iterations the fit converged.
final sum of squares of residuals : 183050
rel. change during last iteration : -4.61568e-007

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 93.3631
variance of residuals (reduced chisquare) = WSSR/ndf   : 8716.68

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

K               = 4604.67          +/- 40.45        (0.8785%)
L               = 180.124          +/- 0.06236      (0.03462%)
S               = 5.62023          +/- 0.05952      (1.059%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.125  1.000 
S              -0.524  0.189  1.000 


*******************************************************************************
Mon Nov 01 16:47:56 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.31188e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 5.19615

initial set of free parameter values

A               = 351.359
B               = 4790.38
C               = 180.137

After 3 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -2.12055e-006

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 249.337
variance of residuals (reduced chisquare) = WSSR/ndf   : 62168.7

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Nov 01 16:48:03 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 350.854
B               = 4770.42

After 1 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -9.8087e-014

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:48:03 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58167e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 319.472

initial set of free parameter values

K               = 5000
L               = 180
S               = 5.62023

After 6 iterations the fit converged.
final sum of squares of residuals : 183050
rel. change during last iteration : -4.61568e-007

degrees of freedom    (FIT_NDF)                        : 21
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 93.3631
variance of residuals (reduced chisquare) = WSSR/ndf   : 8716.68

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

K               = 4604.67          +/- 40.45        (0.8785%)
L               = 180.124          +/- 0.06236      (0.03462%)
S               = 5.62023          +/- 0.05952      (1.059%)


correlation matrix of the fit parameters:

               K      L      S      
K               1.000 
L               0.125  1.000 
S              -0.524  0.189  1.000 


*******************************************************************************
Mon Nov 01 16:51:17 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 350.854
B               = 4770.42

After 1 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -7.34761e-014

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:51:17 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.58167e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 302.654

initial set of free parameter values

K               = 5000
S               = 5.62023

After 6 iterations the fit converged.
final sum of squares of residuals : 217795
rel. change during last iteration : -1.63097e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 99.4977
variance of residuals (reduced chisquare) = WSSR/ndf   : 9899.78

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

K               = 4594.96          +/- 42.62        (0.9275%)
S               = 5.59828          +/- 0.06219      (1.111%)


correlation matrix of the fit parameters:

               K      S      
K               1.000 
S              -0.560  1.000 


*******************************************************************************
Mon Nov 01 16:53:54 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 350.854
B               = 4770.42

After 1 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -5.49287e-014

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:53:54 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.52067e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 303.308

initial set of free parameter values

K               = 5000
S               = 5.59828

After 6 iterations the fit converged.
final sum of squares of residuals : 217795
rel. change during last iteration : -1.6999e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 99.4977
variance of residuals (reduced chisquare) = WSSR/ndf   : 9899.78

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

K               = 4594.96          +/- 42.62        (0.9275%)
S               = 5.59828          +/- 0.06219      (1.111%)


correlation matrix of the fit parameters:

               K      S      
K               1.000 
S              -0.560  1.000 


*******************************************************************************
Mon Nov 01 16:55:44 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30554e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 350.854
B               = 4770.42

After 1 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -4.06615e-014

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.854          +/- 10.79        (3.076%)
B               = 4770.42          +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 16:55:44 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.52067e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 303.308

initial set of free parameter values

K               = 5000
S               = 5.59828

After 6 iterations the fit converged.
final sum of squares of residuals : 217795
rel. change during last iteration : -1.6999e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 99.4977
variance of residuals (reduced chisquare) = WSSR/ndf   : 9899.78

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

K               = 4594.96          +/- 42.62        (0.9275%)
S               = 5.59828          +/- 0.06219      (1.111%)


correlation matrix of the fit parameters:

               K      S      
K               1.000 
S              -0.560  1.000 


*******************************************************************************
Mon Nov 01 16:58:28 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)


*******************************************************************************
Mon Nov 01 16:58:57 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)


*******************************************************************************
Mon Nov 01 17:00:39 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.30561e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 6.36396

initial set of free parameter values

A               = 351
B               = 4770

After 2 iterations the fit converged.
final sum of squares of residuals : 1.30554e+006
rel. change during last iteration : -6.18108e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 243.604
variance of residuals (reduced chisquare) = WSSR/ndf   : 59342.9

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

A               = 350.852          +/- 10.79        (3.077%)
B               = 4770.4           +/- 96.54        (2.024%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.857  1.000 


*******************************************************************************
Mon Nov 01 17:00:39 2010


FIT:    data read from 'prvni.dat' using 1:4
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 812742            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 267.872

initial set of free parameter values

K               = 4595
S               = 6

After 3 iterations the fit converged.
final sum of squares of residuals : 217795
rel. change during last iteration : -8.40559e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 99.4977
variance of residuals (reduced chisquare) = WSSR/ndf   : 9899.79

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

K               = 4594.98          +/- 42.62        (0.9275%)
S               = 5.59827          +/- 0.06219      (1.111%)


correlation matrix of the fit parameters:

               K      S      
K               1.000 
S              -0.560  1.000 


*******************************************************************************
Mon Nov 01 17:47:18 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.27616e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.659

initial set of free parameter values

A               = 351
B               = 4770
C               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 139662
rel. change during last iteration : -2.0214e-007

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 124.571
variance of residuals (reduced chisquare) = WSSR/ndf   : 15518

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

A               = 290.545          +/- 21.78        (7.497%)
B               = 1323.64          +/- 66.02        (4.987%)
C               = 181.222          +/- 0.1245       (0.0687%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.839  1.000 
C              -0.108 -0.091  1.000 


*******************************************************************************
Mon Nov 01 17:47:18 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.44001e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 219.579

initial set of free parameter values

K               = 4595
S               = 6
L               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 5317.24
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 24.3065
variance of residuals (reduced chisquare) = WSSR/ndf   : 590.804

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

K               = 1312.33          +/- 13.97        (1.064%)
S               = 1.75112          +/- 0.02472      (1.412%)
L               = 181.267          +/- 0.02601      (0.01435%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.509  1.000 
L               0.013 -0.025  1.000 


*******************************************************************************
Mon Nov 01 17:49:27 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.27616e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.659

initial set of free parameter values

A               = 351
B               = 4770
C               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 139662
rel. change during last iteration : -2.0214e-007

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 124.571
variance of residuals (reduced chisquare) = WSSR/ndf   : 15518

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

A               = 290.545          +/- 21.78        (7.497%)
B               = 1323.64          +/- 66.02        (4.987%)
C               = 181.222          +/- 0.1245       (0.0687%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.839  1.000 
C              -0.108 -0.091  1.000 


*******************************************************************************
Mon Nov 01 17:49:27 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.44001e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 219.579

initial set of free parameter values

K               = 4595
S               = 6
L               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 5317.24
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 24.3065
variance of residuals (reduced chisquare) = WSSR/ndf   : 590.804

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

K               = 1312.33          +/- 13.97        (1.064%)
S               = 1.75112          +/- 0.02472      (1.412%)
L               = 181.267          +/- 0.02601      (0.01435%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.509  1.000 
L               0.013 -0.025  1.000 


*******************************************************************************
Mon Nov 01 17:50:26 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.09462e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.657

initial set of free parameter values

A               = 351
B               = 4770
C               = 180

After 12 iterations the fit converged.
final sum of squares of residuals : 3.03282e+006
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 658.225
variance of residuals (reduced chisquare) = WSSR/ndf   : 433261

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

A               = 30.3902          +/- 146.5        (482.2%)
B               = 408.651          +/- 366.8        (89.75%)
C               = 181.497          +/- 7.013        (3.864%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.815  1.000 
C              -0.032  0.088  1.000 


*******************************************************************************
Mon Nov 01 17:50:26 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.2299e+008       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 187.924

initial set of free parameter values

K               = 4595
S               = 6
L               = 180

After 9 iterations the fit converged.
final sum of squares of residuals : 4798.66
rel. change during last iteration : -3.71864e-007

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 26.1825
variance of residuals (reduced chisquare) = WSSR/ndf   : 685.523

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

K               = 1311.93          +/- 15.07        (1.149%)
S               = 1.75268          +/- 0.02697      (1.539%)
L               = 181.269          +/- 0.0281       (0.0155%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.512  1.000 
L               0.010 -0.018  1.000 


*******************************************************************************
Mon Nov 01 17:50:40 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.27616e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.659

initial set of free parameter values

A               = 351
B               = 4770
C               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 139662
rel. change during last iteration : -2.0214e-007

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 124.571
variance of residuals (reduced chisquare) = WSSR/ndf   : 15518

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

A               = 290.545          +/- 21.78        (7.497%)
B               = 1323.64          +/- 66.02        (4.987%)
C               = 181.222          +/- 0.1245       (0.0687%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.839  1.000 
C              -0.108 -0.091  1.000 


*******************************************************************************
Mon Nov 01 17:50:40 2010


FIT:    data read from 'treti.dat' using 1:4
        #datapoints = 12
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.44001e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 219.579

initial set of free parameter values

K               = 4595
S               = 6
L               = 180

After 8 iterations the fit converged.
final sum of squares of residuals : 5317.24
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 24.3065
variance of residuals (reduced chisquare) = WSSR/ndf   : 590.804

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

K               = 1312.33          +/- 13.97        (1.064%)
S               = 1.75112          +/- 0.02472      (1.412%)
L               = 181.267          +/- 0.02601      (0.01435%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.509  1.000 
L               0.013 -0.025  1.000 


*******************************************************************************
Mon Nov 01 17:50:47 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.09462e+008      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 202.657

initial set of free parameter values

A               = 351
B               = 4770
C               = 180

After 12 iterations the fit converged.
final sum of squares of residuals : 3.03282e+006
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 658.225
variance of residuals (reduced chisquare) = WSSR/ndf   : 433261

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

A               = 30.3902          +/- 146.5        (482.2%)
B               = 408.651          +/- 366.8        (89.75%)
C               = 181.497          +/- 7.013        (3.864%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.815  1.000 
C              -0.032  0.088  1.000 


*******************************************************************************
Mon Nov 01 17:50:47 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.2299e+008       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 187.924

initial set of free parameter values

K               = 4595
S               = 6
L               = 180

After 9 iterations the fit converged.
final sum of squares of residuals : 4798.66
rel. change during last iteration : -3.71864e-007

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 26.1825
variance of residuals (reduced chisquare) = WSSR/ndf   : 685.523

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

K               = 1311.93          +/- 15.07        (1.149%)
S               = 1.75268          +/- 0.02697      (1.539%)
L               = 181.269          +/- 0.0281       (0.0155%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.512  1.000 
L               0.010 -0.018  1.000 


*******************************************************************************
Mon Nov 01 17:52:06 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.43898e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 167.44

initial set of free parameter values

A               = 290
B               = 1323
C               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 28611.5
rel. change during last iteration : -5.34416e-013

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 63.9324
variance of residuals (reduced chisquare) = WSSR/ndf   : 4087.35

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

A               = 339.912          +/- 14.99        (4.409%)
B               = 1394.62          +/- 36.78        (2.637%)
C               = 181.238          +/- 0.06005      (0.03314%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.835  1.000 
C              -0.138 -0.115  1.000 


*******************************************************************************
Mon Nov 01 17:52:06 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 10
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.43725e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 274.223

initial set of free parameter values

K               = 1301
S               = 1.8
L               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 4798.66
rel. change during last iteration : -1.89531e-016

degrees of freedom    (FIT_NDF)                        : 7
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 26.1825
variance of residuals (reduced chisquare) = WSSR/ndf   : 685.523

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

K               = 1311.92          +/- 15.07        (1.149%)
S               = 1.7527           +/- 0.02697      (1.539%)
L               = 181.269          +/- 0.0281       (0.0155%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.512  1.000 
L               0.010 -0.018  1.000 


*******************************************************************************
Mon Nov 01 17:52:28 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 9
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.38042e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 167.438

initial set of free parameter values

A               = 290
B               = 1323
C               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 28609.9
rel. change during last iteration : -3.72687e-012

degrees of freedom    (FIT_NDF)                        : 6
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 69.053
variance of residuals (reduced chisquare) = WSSR/ndf   : 4768.32

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

A               = 339.744          +/- 18.66        (5.494%)
B               = 1394.44          +/- 41           (2.94%)
C               = 181.239          +/- 0.07208      (0.03977%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.825  1.000 
C              -0.325 -0.209  1.000 


*******************************************************************************
Mon Nov 01 17:52:28 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 9
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.42959e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 288.015

initial set of free parameter values

K               = 1301
S               = 1.8
L               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 4277.09
rel. change during last iteration : -1.91379e-015

degrees of freedom    (FIT_NDF)                        : 6
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 26.6992
variance of residuals (reduced chisquare) = WSSR/ndf   : 712.849

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

K               = 1309.96          +/- 15.48        (1.182%)
S               = 1.76137          +/- 0.02939      (1.668%)
L               = 181.274          +/- 0.02939      (0.01621%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.523  1.000 
L              -0.016  0.052  1.000 


*******************************************************************************
Mon Nov 01 17:53:22 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 9
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.27495e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 167.439

initial set of free parameter values

A               = 290
B               = 1323
C               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 13374.9
rel. change during last iteration : -4.05525e-012

degrees of freedom    (FIT_NDF)                        : 6
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 47.2139
variance of residuals (reduced chisquare) = WSSR/ndf   : 2229.15

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

A               = 357.72           +/- 13           (3.633%)
B               = 1414.92          +/- 28.25        (1.996%)
C               = 181.274          +/- 0.04428      (0.02443%)


correlation matrix of the fit parameters:

               A      B      C      
A               1.000 
B               0.828  1.000 
C               0.021 -0.045  1.000 


*******************************************************************************
Mon Nov 01 17:53:22 2010


FIT:    data read from 'tretidve.dat' using 1:4
        #datapoints = 9
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.36085e+006      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 266.982

initial set of free parameter values

K               = 1301
S               = 1.8
L               = 180

After 6 iterations the fit converged.
final sum of squares of residuals : 4391.86
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 6
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 27.0551
variance of residuals (reduced chisquare) = WSSR/ndf   : 731.976

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

K               = 1310.93          +/- 15.64        (1.193%)
S               = 1.75724          +/- 0.02868      (1.632%)
L               = 181.267          +/- 0.02924      (0.01613%)


correlation matrix of the fit parameters:

               K      S      L      
K               1.000 
S              -0.518  1.000 
L               0.019 -0.039  1.000 
