*******************************************************************************
Sun May 29 18:05:10 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:09:20 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:09:20 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0

initial set of free parameter values

a               = 1
b               = 1
BREAK:          Singular matrix in Givens()



*******************************************************************************
Sun May 29 18:09:24 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:09:24 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0

initial set of free parameter values

a               = 1
b               = 1
BREAK:          Singular matrix in Givens()



*******************************************************************************
Sun May 29 18:10:28 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:10:28 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0

initial set of free parameter values

a               = 0.340853
b               = 21.0199
BREAK:          Singular matrix in Givens()



*******************************************************************************
Sun May 29 18:10:30 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:10:30 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0

initial set of free parameter values

a               = 0.340853
b               = 21.0199
BREAK:          Singular matrix in Givens()



*******************************************************************************
Sun May 29 18:10:31 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:10:31 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0

initial set of free parameter values

a               = 0.340853
b               = 21.0199
BREAK:          Singular matrix in Givens()



*******************************************************************************
Sun May 29 18:11:29 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:11:29 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 376.238

initial set of free parameter values

a               = 0.340853
b               = 21.0199

After 7 iterations the fit converged.
final sum of squares of residuals : 56.6671
rel. change during last iteration : -1.975e-12

degrees of freedom    (FIT_NDF)                        : 63
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.948408
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.899478

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

a               = 0.580233         +/- 0.003748     (0.6459%)
b               = -129.649         +/- 1.994        (1.538%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000 


*******************************************************************************
Sun May 29 18:11:30 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:11:30 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 376.238

initial set of free parameter values

a               = 0.340853
b               = 21.0199

After 7 iterations the fit converged.
final sum of squares of residuals : 56.6671
rel. change during last iteration : -1.975e-12

degrees of freedom    (FIT_NDF)                        : 63
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.948408
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.899478

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

a               = 0.580233         +/- 0.003748     (0.6459%)
b               = -129.649         +/- 1.994        (1.538%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000 


*******************************************************************************
Sun May 29 18:12:07 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:12:07 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 376.238

initial set of free parameter values

a               = 0.340853
b               = 21.0199

After 7 iterations the fit converged.
final sum of squares of residuals : 56.6671
rel. change during last iteration : -1.975e-12

degrees of freedom    (FIT_NDF)                        : 63
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.948408
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.899478

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

a               = 0.580233         +/- 0.003748     (0.6459%)
b               = -129.649         +/- 1.994        (1.538%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000 


*******************************************************************************
Sun May 29 18:13:23 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [0.00000 : 380.000]
        #datapoints = 228
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.73271e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 155.439

initial set of free parameter values

k               = 1
q               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 290.234
rel. change during last iteration : -1.52681e-08

degrees of freedom    (FIT_NDF)                        : 226
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.13323
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.28422

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

k               = 0.340853         +/- 0.0006831    (0.2004%)
q               = 21.0199          +/- 0.1502       (0.7144%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.866  1.000 


*******************************************************************************
Sun May 29 18:13:23 2011


FIT:    data read from "data.txt" using 1:4
        format = x:z
        y range restricted to [479.000 : 585.000]
        #datapoints = 65
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 39686.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 376.238

initial set of free parameter values

a               = 0.340853
b               = 21.0199

After 7 iterations the fit converged.
final sum of squares of residuals : 56.6671
rel. change during last iteration : -1.975e-12

degrees of freedom    (FIT_NDF)                        : 63
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.948408
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.899478

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

a               = 0.580233         +/- 0.003748     (0.6459%)
b               = -129.649         +/- 1.994        (1.538%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000