| lnxreg.zip | (660 kb) | GNU/Linux executables |
| winreg.zip | (240 kb) | Windows console executables |
| regress.zip | (198 kb) | C sources, package version 4.4 (2015.11.30) |
| regress.tar.gz | (170 kb) |
MPR is a program for multivariate polynomial regression, i.e.,
a program that determines a minimum squared error polynomial for
given data. The output values may also be transformed with the logit
transformation, thus enabling (multivariate) logistic regression.
Alternatively, a logistic regression may be obtained with an
iterative scheme that maximizes data likelihood. Since version 4.0
it also allows for a forward selection of attributes based on a
separate validation data set. A brief description of how to apply
this program can be found in the file regress/ex/readme
in the source package.
If you have trouble executing the programs on Microsoft Windows, check whether you have the Microsoft Visual C++ Redistributable for Visual Studio 2022 (see under "Other Tools and Frameworks") installed, as the programs were compiled with Microsoft Visual Studio 2022.
A graphical user interface to these command line programs (RegGUI, written in Java) can be found here. This graphical user interface contains a simple viewer for induced regression models, which is also available as a separate program. This graphical user interface does not yet support logistic regression based on maximum likelihood or attribute selection with a validation data set.