|32 bit||64 bit||(32/64 bit only for executables)|
|lnxreg.zip||(401 kb)||lnxreg.zip||(612 kb)||GNU/Linux executables|
|winreg.zip||(203 kb)||winreg.zip||(228 kb)||Windows console executables|
|regress.zip||(189 kb)||regress.tar.gz||(161 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 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 2017 (see under "Other Tools and Frameworks") installed, as the programs were compiled with Microsoft Visual Studio 2017.
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.