The toolbox regtools provides three functions for performing linear and non
linear regression analysis.
linregr() provides an interactive user interface for linear regression analysis,
including plot facilities and the most relevant statistical information at the
solution.
nlinregr() provides an interactive user interface for performing non linear
(weighted) regression analysis. Also here plot facilities and statistical
information are available.
Both functions can be called in silent command line mode.
nlinlsq() is a more flexible non linear (weighted) regression analysis function
- called by nlinregr(). nlinlsq() uses the scilab function optim() for solving
the regression problem. Supports both analytical and numerical derivatives.
Consider using R for difficult problems (http://www.r-project.org/).
A function qqplot() is also included - providing quantile-quantile plots.
Version 0.42 Corrected a bug in nlinlsq() which prevented optional parameters to
be passed to the regression functions. NOTE - the calling sequence to nlinlsq()
has been updated slightly. See help nlinlsq().
