*******************************************************************************
Tue Dec  2 11:07:56 2025


FIT:    data read from 'courbes.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9034085045e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3525679675e+01  -1.58e-08  3.22e-04    2.342408e+00   2.705388e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5257
rel. change during last iteration : -1.58101e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.610923
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373227

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34241          +/- 0.1971       (8.414%)
gamma           = 2.70539          +/- 0.04437      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Tue Dec  2 11:11:11 2025


FIT:    data read from 'courbes.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9034085045e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3525679675e+01  -1.58e-08  3.22e-04    2.342408e+00   2.705388e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5257
rel. change during last iteration : -1.58101e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.610923
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373227

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34241          +/- 0.1971       (8.414%)
gamma           = 2.70539          +/- 0.04437      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Tue Dec  2 11:11:26 2025


FIT:    data read from 'courbes.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9034085045e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3525679675e+01  -1.58e-08  3.22e-04    2.342408e+00   2.705388e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5257
rel. change during last iteration : -1.58101e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.610923
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373227

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34241          +/- 0.1971       (8.414%)
gamma           = 2.70539          +/- 0.04437      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000