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Statistics-PCA-Factor version 0.0.1 DESCRIPTION Factor analysis is a statistical method by which the variability of a large set of observed variables is described in terms of a smaller set of unobserved variables termed factors. Factor analysis uses the premise that data observed from such a large number of variables are in some way a function of these factors that cannot be measured directly. The observed variables are modeled as linear combinations of the factors. Factor analysis is related to principal component analysis (PCA). However, unlike PCA that takes into account all variability in the variables, factor analysis estimates how much of the variability is due to common factors ("communality"). See http://en.wikipedia.org/wiki/Factor_analysis. INSTALLATION To install this module, run the following commands: perl Makefile.PL make make test make install Alternatively, to install with Module::Build, you can use the following commands: perl Build.PL ./Build ./Build test ./Build install DEPENDENCIES 'Carp' => '1.08', 'Moose' => '0.93', 'MooseX::NonMoose' => '0.07', 'Statistics::PCA::Varimax' => '0.0.2', 'Math::GSL::Linalg::SVD' => '0.0.2', 'List::Util' => '1.22', COPYRIGHT AND LICENCE Copyright (C) 2009, Daniel S. T. Hughes This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.