*******************************************************************************
Wed Mar  5 12:49:25 2008


FIT:    data read from '< column  cost  GDT  < /tmp/pred.rdb | rdb2gnuplot'
        #datapoints = 88696
        residuals are weighted equally (unit weight)

function used for fitting: m*x+b
fitted parameters initialized with current variable values



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

initial set of free parameter values

m               = 1
b               = 1

After 1 iterations the fit converged.
final sum of squares of residuals : nan
abs. change during last iteration : nan

degrees of freedom (ndf) : 88694
rms of residuals      (stdfit) = sqrt(WSSR/ndf)      : nan
variance of residuals (reduced chisquare) = WSSR/ndf : nan

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

m               = 1                +/- nan          (nan%)
b               = 1                +/- nan          (nan%)


correlation matrix of the fit parameters:

               m      b      
m                 nan 
b                 nan    nan 


*******************************************************************************
Wed Mar  5 12:50:03 2008


FIT:    data read from '< column  cost  GDT  < /tmp/pred.rdb | rdb2gnuplot'
        #datapoints = 88696
        residuals are weighted equally (unit weight)

function used for fitting: m*x+b
fitted parameters initialized with current variable values



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

initial set of free parameter values

m               = 1
b               = 1e-30

After 1 iterations the fit converged.
final sum of squares of residuals : nan
abs. change during last iteration : nan

degrees of freedom (ndf) : 88694
rms of residuals      (stdfit) = sqrt(WSSR/ndf)      : nan
variance of residuals (reduced chisquare) = WSSR/ndf : nan

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

m               = 1                +/- nan          (nan%)
b               = 1e-30            +/- nan          (nan%)


correlation matrix of the fit parameters:

               m      b      
m                 nan 
b                 nan    nan 


*******************************************************************************
Wed Mar  5 12:51:02 2008


FIT:    data read from '< column  cost  GDT  < /tmp/pred.rdb | rdb2gnuplot'
        #datapoints = 88696
        residuals are weighted equally (unit weight)

function used for fitting: m*x+b
fitted parameters initialized with current variable values



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

initial set of free parameter values

m               = nan
b               = 1e-30

After 1 iterations the fit converged.
final sum of squares of residuals : nan
abs. change during last iteration : nan

degrees of freedom (ndf) : 88694
rms of residuals      (stdfit) = sqrt(WSSR/ndf)      : nan
variance of residuals (reduced chisquare) = WSSR/ndf : nan

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

m               = nan              +/- nan          (nan%)
b               = 1e-30            +/- nan          (nan%)


correlation matrix of the fit parameters:

               m      b      
m                 nan 
b                 nan    nan 


*******************************************************************************
Wed Mar  5 12:51:25 2008


FIT:    data read from '< column  cost  GDT  < /tmp/pred.rdb | rdb2gnuplot'
        #datapoints = 88696
        residuals are weighted equally (unit weight)

function used for fitting: m*x+b
fitted parameters initialized with current variable values



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

initial set of free parameter values

m               = 1
b               = 1e-30

After 1 iterations the fit converged.
final sum of squares of residuals : nan
abs. change during last iteration : nan

degrees of freedom (ndf) : 88694
rms of residuals      (stdfit) = sqrt(WSSR/ndf)      : nan
variance of residuals (reduced chisquare) = WSSR/ndf : nan

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

m               = 1                +/- nan          (nan%)
b               = 1e-30            +/- nan          (nan%)


correlation matrix of the fit parameters:

               m      b      
m                 nan 
b                 nan    nan