Package: GPCSIV
Type: Package
Title: GPCSIV, Generalized Principal Component of Symbolic Interval
        variables
Version: 0.1.0
Date: 2013-06-06
Author: Brahim Brahim and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Maintainer: Brahim Brahim <brahim.brahim@bigdatavisualizations.com>
Description: This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables. 
License: GPL (>= 2)
Depends: scatterplot3d, sqldf
Packaged: 2013-09-14 19:01:48 UTC; PSA
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-15 09:53:08
Built: R 3.1.0; ; 2014-01-10 06:07:17 UTC; unix
