*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "55_vs_77.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.66726e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707302

initial set of free parameter values

a               = 1
b               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 421624
rel. change during last iteration : -6.34169e-08

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 46.1456
variance of residuals (reduced chisquare) = WSSR/ndf   : 2129.41

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

a               = 917.12           +/- 480.9        (52.44%)
b               = 195.33           +/- 11.29        (5.78%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.957  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "55_vs_77.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.58815e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.972317

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 380453
rel. change during last iteration : -6.44724e-08

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.8347
variance of residuals (reduced chisquare) = WSSR/ndf   : 1921.48

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

aa              = 952.476          +/- 188.8        (19.82%)
bb              = -682.892         +/- 178.2        (26.09%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "55_vs_77.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.6554e+06        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.972317

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 14.0608
rel. change during last iteration : -2.80474e-11

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.266484
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0710139

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

aaa             = -3145.15         +/- 1.148        (0.03649%)
bbb             = 3144.91          +/- 1.083        (0.03444%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000