*******************************************************************************
Thu Oct  5 14:24:23 2017


FIT:    data read from "20171005-all.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=a*x+b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 2.2819584538e+07   0.00e+00  7.07e-01    1.000000e+00   1.000000e+00
   4 9.2387072945e+05  -3.77e-04  7.07e-05    5.253352e+02   1.999370e+02

After 4 iterations the fit converged.
final sum of squares of residuals : 923871
rel. change during last iteration : -3.77204e-09

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.0716
variance of residuals (reduced chisquare) = WSSR/ndf   : 1855.16

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = 525.335          +/- 371.3        (70.69%)
b               = 199.937          +/- 7.551        (3.777%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.967  1.000 


*******************************************************************************
Thu Oct  5 14:24:23 2017


FIT:    data read from "20171005-all.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
	g(x)=aa*x+bb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aa            bb           
   0 2.2629211027e+07   0.00e+00  9.66e-01    1.000000e+00   1.000000e+00
   4 8.9631538551e+05  -2.78e-05  9.66e-05    4.610660e+02  -2.189272e+02

After 4 iterations the fit converged.
final sum of squares of residuals : 896315
rel. change during last iteration : -2.77934e-10

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 42.4244
variance of residuals (reduced chisquare) = WSSR/ndf   : 1799.83

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aa              = 461.066          +/- 110.6        (23.99%)
bb              = -218.927         +/- 103          (47.04%)

correlation matrix of the fit parameters:
                aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Thu Oct  5 14:24:23 2017


FIT:    data read from "20171005-all.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
	h(x)=aaa*x+bbb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aaa           bbb          
   0 2.4597834778e+07   0.00e+00  9.66e-01    1.000000e+00   1.000000e+00
   5 4.4603658393e+01  -1.73e-08  9.66e-06   -3.139922e+03   3.139954e+03

After 5 iterations the fit converged.
final sum of squares of residuals : 44.6037
rel. change during last iteration : -1.72842e-13

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.299275
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0895656

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aaa             = -3139.92         +/- 0.7803       (0.02485%)
bbb             = 3139.95          +/- 0.7265       (0.02314%)

correlation matrix of the fit parameters:
                aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Thu Oct  5 14:24:23 2017


FIT:    data read from "20171005-all.csv" every ::1 using 3:6
        format = x:z
        #datapoints = 500
        residuals are weighted equally (unit weight)

function used for fitting: i(x)
	i(x)=aaaa*x+bbbb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aaaa          bbbb         
   0 2.4797348325e+07   0.00e+00  7.07e-01    1.000000e+00   1.000000e+00
   5 6.2575820484e+05  -6.78e-01  7.07e-06   -1.004063e+05   3.554273e+02

After 5 iterations the fit converged.
final sum of squares of residuals : 625758
rel. change during last iteration : -6.77885e-06

degrees of freedom    (FIT_NDF)                        : 498
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 35.4477
variance of residuals (reduced chisquare) = WSSR/ndf   : 1256.54

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aaaa            = -100406          +/- 3920         (3.904%)
bbbb            = 355.427          +/- 5.629        (1.584%)

correlation matrix of the fit parameters:
                aaaa   bbbb   
aaaa            1.000 
bbbb           -0.960  1.000