|lnxreg.zip||(638 kb)||GNU/Linux executables|
|winreg.zip||(236 kb)||Windows console executables|
|regress.zip||(198 kb)||C sources, package version 4.4 (2015.11.30)|
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
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 2019 (see under "Other Tools and Frameworks") installed, as the programs were compiled with Microsoft Visual Studio 2019.
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.