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A cross-platform multivariate analysis package, including a graphical user interface

The purpose of this software is to provide a simple to install and easy to use graphical interface to multivariate algorithms.
The package currently supports: storage of supporting experimental data (metadata); data pre-processing; principal components analysis (PCA); discriminant function analysis (DFA,CVA,LDA,DA); cluster analysis; partial least squares regression (PLSR, PLS1); genetic algorithm (GA) based variable selector coupled to PLS and DFA.


LicenseVerified byVerified onNotes
License:GPLv2orlaterTed Teah4 June 2007

Leaders and contributors

Roger Jarvis Maintainer

Resources and communication

AudienceResource typeURI
DeveloperVCS Repository Webview
Bug TrackingVCS Repository Webview
DeveloperMailing List Info/Archive
SupportMailing List Info/Archive

Software prerequisites

Source requirementPython
Source requirementwxPython
Source requirementBoa Constructor
Source requirementcElementTree
Source requirementBiopython

This entry (in part or in whole) was last reviewed on 19 February 2017.


Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

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