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Groups > comp.graphics.apps.gnuplot > #1881

Re: fitting to more than 5 variables

From sfeam <sfeam@users.sourceforge.net>
Newsgroups comp.graphics.apps.gnuplot
Subject Re: fitting to more than 5 variables
Followup-To comp.graphics.apps.gnuplot
Date 2013-06-08 15:26 -0700
Organization gnuplot development team
Message-ID <kp0aqp$hl9$1@dont-email.me> (permalink)
References <481037c4-a6a8-45ed-8d33-e0d57a70a0cf@googlegroups.com>

Followups directed to: comp.graphics.apps.gnuplot

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trg818@gmail.com wrote:

> Hi,
> it seems that by default, the non-linear least squares fitting
> algorithm implemented in Gnuplot is restricted to at most 5
> independent variables. I have a dataset that I need to fit to 9
> independent variables. Is there a way to do this in Gnuplot, e.g., by
> setting some environment variable, or is there absolutely no way to
> achieve this? If it can't be done, are there plans to implement a
> method that allows for more flexibility, and what alternatives do I
> have? Thomas

Please show us the fit command you are trying to use,
and the error message it gives.

There is not a 5-parameter limit in defining a function. 
E.g. this command is accepted
  F(q1,q2,q3,q4,q5,q6,q7,q8,q9) = q1+q2+q3+q4+q5+q6+q7+q8+q9

Also there is not a 5-parameter limit in the "via" keyword. 
E.g. this command is accepted
  fit Q(x,y) using 1:2:3:(1) via q1,q2,q3,q4,q5,q6,q7,q8

Even the combination is accepted:
  fit F(q1,q2,q3,q4,q5,q6,q7,q8,q9) 'foo.dat'  using 1:2:3 \
      via q1,q2,q3,q4,q5,q6,q7,q8,q9

So what limit have you encountered, exactly?

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Thread

fitting to more than 5 variables trg818@gmail.com - 2013-06-07 17:18 -0700
  Re: fitting to more than 5 variables sfeam <sfeam@users.sourceforge.net> - 2013-06-08 15:26 -0700
    Re: fitting to more than 5 variables trg818@gmail.com - 2013-06-09 16:35 -0700
      Re: fitting to more than 5 variables sfeam <sfeam@users.sourceforge.net> - 2013-06-10 16:28 -0700
        Re: fitting to more than 5 variables sfeam <sfeam@users.sourceforge.net> - 2013-06-11 15:59 -0700

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