Re: Software suggestions

bernardz wrote:

> I prefer a formula such as a linear or nonlinear regression because I
> can picture the relationship in my head as opposed to a neural network
> where all I get is a black box effect.
>
> >
> > How many predictor (independent) variables are there?
>
> I must have six (6) although this could go up to twenty (20).

Well, the R computing package (http://www.r-project.org)
is easy to use, has a large, active user community,
many add-on packages, and it is free as in free beer and
as in free speech. There are precompiled binaries for
Windows and Linux and probably other platforms.

I have used R for both very small problems (in which I was
mostly just trying out different ideas) and moderate sized
problems (analysis of data sets with about 100 variables
and 100,000 records).

R has linear regression built-in. Other forms of regression
are probably available as add-on packages.

For what it's worth,
Robert Dodier

.

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