*******************************************************************************
Tue Oct 24 02:58:38 2017


FIT:    data read from "adv-lamb_1.csv" every ::1 using 2:5
        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        : 3.43364e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707341

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 105131
rel. change during last iteration : -7.05227e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 32.7531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1072.77

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

a               = -1670.56         +/- 3271         (195.8%)
b               = 226.406          +/- 84.16        (37.17%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.999  1.000 


*******************************************************************************
Tue Oct 24 02:58:38 2017


FIT:    data read from "adv-lamb_1.csv" every ::1 using 4:5
        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        : 3.40055e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.967948

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 102920
rel. change during last iteration : -1.65455e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 32.4068
variance of residuals (reduced chisquare) = WSSR/ndf   : 1050.2

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

aa              = 1625.98          +/- 1056         (64.93%)
bb              = -1336.49         +/- 986.9        (73.84%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:58:38 2017


FIT:    data read from "adv-lamb_1.csv" every ::1 using 4:6
        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        : 4.12654e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.967948

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 6.60519
rel. change during last iteration : -6.76367e-14

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.259615
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0673999

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

aaa             = -3152.73         +/- 8.457        (0.2683%)
bbb             = 3151.99          +/- 7.906        (0.2508%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000