*******************************************************************************
Fri Oct 27 14:12:17 2017


FIT:    data read from "YxYxY.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.92039e+08       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

a               = 1
b               = 1

After 2 iterations the fit converged.
final sum of squares of residuals : 2.0943e+08
rel. change during last iteration : -6.36839e-06

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 824.601
variance of residuals (reduced chisquare) = WSSR/ndf   : 679967

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

a               = -90.5276         +/- 1.737e+06    (1.919e+06%)
b               = 1248.73          +/- 133.7        (10.71%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.937  1.000 


*******************************************************************************
Fri Oct 27 14:12:17 2017


FIT:    data read from "YxYxY.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.91512e+08       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.877145

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 5.45204e+07
rel. change during last iteration : -3.71707e-14

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 420.731
variance of residuals (reduced chisquare) = WSSR/ndf   : 177014

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

aa              = -8487.73         +/- 286.9        (3.38%)
bb              = 7438.54          +/- 210.6        (2.831%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.994  1.000 


*******************************************************************************
Fri Oct 27 14:12:17 2017


FIT:    data read from "YxYxY.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.36935e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.877145

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 12579.6
rel. change during last iteration : -2.05041e-13

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.39083
variance of residuals (reduced chisquare) = WSSR/ndf   : 40.8428

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

aaa             = -285.646         +/- 4.358        (1.526%)
bbb             = 293.902          +/- 3.199        (1.088%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.994  1.000 


*******************************************************************************
Fri Oct 27 14:12:17 2017


FIT:    data read from "YxYxY.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 310
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.40562e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707176

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 36249.8
rel. change during last iteration : -9.22032e-06

degrees of freedom    (FIT_NDF)                        : 308
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 10.8487
variance of residuals (reduced chisquare) = WSSR/ndf   : 117.694

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

aaaa            = -3790.61         +/- 105.6        (2.785%)
bbbb            = 133.858          +/- 1.479        (1.105%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.909  1.000