*******************************************************************************
Thu Jul  3 07:06:04 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



*******************************************************************************
Thu Jul  3 07:06:19 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



*******************************************************************************
Thu Jul  3 07:07:09 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 82.4215           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 2.46277

initial set of free parameter values

m               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.17178
rel. change during last iteration : -2.08434e-14

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.207232
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.042945

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

m               = -0.646869        +/- 0.03763      (5.817%)


correlation matrix of the fit parameters:

               m      
m               1.000 


*******************************************************************************
Thu Jul  3 07:07:47 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.17178           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 1.74144

initial set of free parameter values

m               = -0.646869
b               = 1e-30

After 1 iterations the fit converged.
final sum of squares of residuals : 0.17178
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.239291
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.05726

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Thu Jul  3 07:07:56 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.17178           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 1.74144

initial set of free parameter values

m               = -0.646869
b               = 1.001e-30

After 1 iterations the fit converged.
final sum of squares of residuals : 0.17178
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.239291
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.05726

BREAK:          Singular matrix in Invert_RtR



*******************************************************************************
Thu Jul  3 07:08:04 2014


FIT:    data read from 'tune_vs_current.dat' u 1:($3-240.31)
	y range restricted to [-3.00000 : 1.00000]
        #datapoints = 5
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 0.943192          delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 1.87952

initial set of free parameter values

m               = -0.646869
b               = 0.5

After 4 iterations the fit converged.
final sum of squares of residuals : 0.00306409
rel. change during last iteration : -1.43359e-10

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0319588
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00102136

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

m               = -0.769043        +/- 0.01114      (1.448%)
b               = 0.352528         +/- 0.02743      (7.781%)


correlation matrix of the fit parameters:

               m      b      
m               1.000 
b              -0.854  1.000