*******************************************************************************
Fri Oct 27 14:12:05 2017


FIT:    data read from "Xx4x4.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.81227e+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 7 iterations the fit converged.
final sum of squares of residuals : 1.42477e+08
rel. change during last iteration : -4.36753e-13

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 691.456
variance of residuals (reduced chisquare) = WSSR/ndf   : 478111

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

a               = -1.13401e+07     +/- 1.169e+06    (10.31%)
b               = 2295.89          +/- 111.7        (4.866%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.934  1.000 


*******************************************************************************
Fri Oct 27 14:12:05 2017


FIT:    data read from "Xx4x4.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.80731e+08       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.848453

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 7.54457e+07
rel. change during last iteration : -4.78216e-11

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 503.163
variance of residuals (reduced chisquare) = WSSR/ndf   : 253173

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

aa              = -17310           +/- 823          (4.754%)
bb              = 12746.5          +/- 545.7        (4.282%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.999  1.000 


*******************************************************************************
Fri Oct 27 14:12:05 2017


FIT:    data read from "Xx4x4.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.08678e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.848453

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 12619.9
rel. change during last iteration : -1.72365e-10

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.50758
variance of residuals (reduced chisquare) = WSSR/ndf   : 42.3486

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

aaa             = -392.375         +/- 10.64        (2.713%)
bbb             = 361.762          +/- 7.058        (1.951%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.999  1.000 


*******************************************************************************
Fri Oct 27 14:12:05 2017


FIT:    data read from "Xx4x4.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 300
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 3.126e+06         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.70713

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 15806.2
rel. change during last iteration : -1.2249e-09

degrees of freedom    (FIT_NDF)                        : 298
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.28292
variance of residuals (reduced chisquare) = WSSR/ndf   : 53.0409

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

aaaa            = -7290.04         +/- 227.7        (3.124%)
bbbb            = 159.497          +/- 1.847        (1.158%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.974  1.000