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Navigation: Home \ Graphic Apps \ CAD \ MVSP

MVSP

 3.22   by Kovach Computing Services

Vista Compatible
Software Description:
The name MVSP stands for Multi-Variate Statistical Package. MVSP was developed to be an inexpensive and easy to use program that performs a number of multivariate numerical analyses useful in many scientific fields. It calculates three basic types of eigenanalysis ordinations: principal components, principal coordinates, and correspondence/detrended correspondence analyses. ...
type: Trialware ($165.00)
categories: numerical analyses, data matrix, matrix transformation, analyses, numerical, matrix
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Software Info
Best Vista Download periodically updates pricing and software information of MVSP full version from the publisher, but some information may be out-of-date. You should confirm all information.
Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for MVSP license key is illegal and prevent future development of MVSP. Download links are directly from our mirrors or publisher's website, MVSP torrent files or shared files from rapidshare, yousendit or megaupload are not allowed!
Released: July 22, 2014
Filesize: 5.20 MB
Platform: Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64
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MVSP

- Releases History
Software: MVSP 3.22
Date Released: Jul 22, 2014
Status: New Release
Software: MVSP 3.2
Date Released: Jul 22, 2011
Status: New Release
Release Notes: · Version 3 adds canonical correspondence analysis, a technique highly popular in ecological studies. It can also perform cluster analysis, with 23 different distance and similarity measures and seven clustering strategies.
Software: MVSP 3.13r
Date Released: Oct 15, 2010
Status: New Release
Release Notes: · Version 3 adds canonical correspondence analysis, a technique highly popular in ecological studies. It can also perform cluster analysis, with 23 different distance and similarity measures and seven clustering strategies.


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