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Sun Nov  8 21:53:29 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



*******************************************************************************
Sun Nov  8 21:54:06 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.93726           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.24111e-11

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000 


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Sun Nov  8 21:55:11 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.29854e-06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1.04815
b               = 0.00517276

After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.44611e-15

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000 


*******************************************************************************
Mon Nov  9 00:52:29 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.93726           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.24111e-11

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000 


*******************************************************************************
Mon Nov  9 00:53:49 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.29854e-06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1.04815
b               = 0.00517276

After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.44611e-15

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000 


*******************************************************************************
Mon Nov  9 00:55:32 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.29854e-06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1.04815
b               = 0.00517276

After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000 


*******************************************************************************
Mon Nov  9 00:57:36 2009


FIT:    data read from "carnot.txt" using 1:2
        #datapoints = 4
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 1.29854e-06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 0.708582

initial set of free parameter values

a               = 1.04815
b               = 0.00517276

After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 2
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf   : 6.49272e-07

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

a               = 1.04815          +/- 0.01257      (1.199%)
b               = 0.00517276       +/- 0.0008125    (15.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.868  1.000