*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "errors.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 129069            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 84.3477

initial set of free parameter values

a               = 1
b               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 4993.5
rel. change during last iteration : -5.46363e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.13821
variance of residuals (reduced chisquare) = WSSR/ndf   : 50.9541

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

a               = -0.0931363       +/- 0.1443       (154.9%)
b               = 96.4721          +/- 17.21        (17.84%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.999  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "errors.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 38697.6           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 71.7898

initial set of free parameter values

aa              = 1
bb              = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 5010.73
rel. change during last iteration : -1.443e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.15052
variance of residuals (reduced chisquare) = WSSR/ndf   : 51.1299

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

aa              = 0.0270058        +/- 0.09648      (357.3%)
bb              = 82.6379          +/- 9.795        (11.85%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.997  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "errors.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 27023.7           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 71.7898

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 4159.2
rel. change during last iteration : -2.19108e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.51466
variance of residuals (reduced chisquare) = WSSR/ndf   : 42.4408

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

aaa             = -0.0345469       +/- 0.0879       (254.4%)
bbb             = 92.7152          +/- 8.924        (9.625%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.997  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "errors.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 30294.4           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 72.9129

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 4165.22
rel. change during last iteration : -6.01785e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.51938
variance of residuals (reduced chisquare) = WSSR/ndf   : 42.5023

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

aaaa            = -0.0109066       +/- 0.09721      (891.3%)
bbbb            = 90.3395          +/- 10.02        (11.09%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.998  1.000