

*******************************************************************************
Mon Dec 20 14:55:12 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 10.9787           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.706521

initial set of free parameter values

A               = 1
B               = 1

After 240 iterations the fit converged.
final sum of squares of residuals : 0.830188
rel. change during last iteration : -9.47904e-006

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.28813
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0830188

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

A               = 1.72803          +/- 148.4        (8587%)
B               = 0.00592138       +/- 0.5278       (8913%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Mon Dec 20 14:58:04 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.830188          delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 12.5419

initial set of free parameter values

A               = 1.72803
B               = 0.00592138

After 2 iterations the fit converged.
final sum of squares of residuals : 0.829204
rel. change during last iteration : -2.39661e-006

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.287959
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0829204

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

A               = 1.72874          +/- 126.2        (7298%)
B               = 0.00642451       +/- 0.4882       (7598%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Mon Dec 20 14:58:28 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11                delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -3.05301e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:58:31 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11                delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -3.05301e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:59:00 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11                delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -3.05301e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:59:01 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11                delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -3.05301e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:59:02 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11                delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -3.05301e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:59:23 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 15.88             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1.2
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -4.53057e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 14:59:25 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 15.88             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1.2
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -4.53057e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 15:00:21 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 15.88             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1.2
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -4.53057e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 15:00:22 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 15.88             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.707107

initial set of free parameter values

A               = 1.2
B               = 20

After 3 iterations the fit converged.
final sum of squares of residuals : 0.916667
rel. change during last iteration : -4.53057e-009

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.302765
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0916667

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Mon Dec 20 15:00:53 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.62201           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.292127

initial set of free parameter values

A               = 1.2
B               = 20

After 11 iterations the fit converged.
final sum of squares of residuals : 0.825376
rel. change during last iteration : -4.1938e-007

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.287294
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0825376

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

A               = 84363.5          +/- 3.009e+011   (3.566e+008%)
B               = 7.74469e+006     +/- 2.765e+013   (3.57e+008%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               1.000  1.000 


*******************************************************************************
Mon Dec 20 15:01:04 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.42636           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.293549

initial set of free parameter values

A               = 1.2
B               = 20

After 9 iterations the fit converged.
final sum of squares of residuals : 0.00311067
rel. change during last iteration : -3.28623e-008

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0176371
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000311067

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

A               = 1.15422          +/- 0.02726      (2.362%)
B               = 7.80633          +/- 0.4027       (5.158%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.966  1.000 


*******************************************************************************
Mon Dec 20 15:19:16 2010


FIT:    data read from 'kalibrace2.dat' using 1:2
        format = x:z
        #datapoints = 11
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.92091           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.258423

initial set of free parameter values

A               = 1.2
B               = 20

After 8 iterations the fit converged.
final sum of squares of residuals : 0.00722769
rel. change during last iteration : -2.49648e-007

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0283386
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000803076

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

A               = 1.27822          +/- 0.09316      (7.288%)
B               = 10.5671          +/- 1.257        (11.89%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.987  1.000 


*******************************************************************************
Mon Dec 20 15:20:58 2010


FIT:    data read from 'kalibraceI.dat' using 1:2
        format = x:z
        #datapoints = 12
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.42636           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.293549

initial set of free parameter values

A               = 1.2
B               = 20

After 9 iterations the fit converged.
final sum of squares of residuals : 0.00311067
rel. change during last iteration : -3.28623e-008

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0176371
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000311067

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

A               = 1.15422          +/- 0.02726      (2.362%)
B               = 7.80633          +/- 0.4027       (5.158%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.966  1.000 


*******************************************************************************
Mon Dec 20 15:21:06 2010


FIT:    data read from 'kalibrace2.dat' using 1:2
        format = x:z
        #datapoints = 11
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.92091           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.258423

initial set of free parameter values

A               = 1.2
B               = 20

After 8 iterations the fit converged.
final sum of squares of residuals : 0.00722769
rel. change during last iteration : -2.49648e-007

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0283386
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000803076

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

A               = 1.27822          +/- 0.09316      (7.288%)
B               = 10.5671          +/- 1.257        (11.89%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.987  1.000 


*******************************************************************************
Tue Dec 21 00:14:19 2010


FIT:    data read from 'rozstepeni.dat' using 1:2
        format = x:z
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 589.663           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.909973

initial set of free parameter values

A               = 1
B               = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 11.1879
rel. change during last iteration : -9.94913e-007

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 2.36515
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.59396

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

A               = 6.88181          +/- 2.906e+016   (4.223e+017%)
B               = 8.26149          +/- 2.354e+016   (2.85e+017%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Tue Dec 21 00:22:52 2010


FIT:    data read from 'rozstepeni.dat' using 1:2
        format = x:z
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11.1879           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.909973

initial set of free parameter values

A               = 6.88181
B               = 8.26149

After 1 iterations the fit converged.
final sum of squares of residuals : 11.1879
rel. change during last iteration : -1.58775e-016

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 2.36515
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.59396

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

A               = 6.88181          +/- 3.902e+016   (5.671e+017%)
B               = 8.26149          +/- 3.161e+016   (3.826e+017%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Tue Dec 21 00:23:09 2010


FIT:    data read from 'rozstepeni.dat' using 1:2
        format = x:z
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 11.1879           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.909973

initial set of free parameter values

A               = 6.88181
B               = 8.26149

After 1 iterations the fit converged.
final sum of squares of residuals : 11.1879
rel. change during last iteration : -1.58775e-016

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 2.36515
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.59396

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

A               = 6.88181          +/- 1.928e+017   (2.802e+018%)
B               = 8.26149          +/- 1.562e+017   (1.891e+018%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 
