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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.



Verified by

Verified on


Verified by

Ted Teah

Verified on

4 June 2007

Leaders and contributors

Roger Jarvis Maintainer

Resources and communication

AudienceResource typeURI
Python (Ref)
Bug TrackingVCS Repository Webview
SupportMailing List Info/Archive
DeveloperMailing List Info/Archive
DeveloperVCS Repository Webview

Software prerequisites

Source requirementBiopython
Source requirementcElementTree
Source requirementwxPython
Source requirementBoa Constructor
Source requirementPython


"Python (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.

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