Statistics::MVA::MultipleRegression - Simple Least Squares Linear Multiple Regression Module.
This document describes Statistics::MVA::MultipleRegression version 0.0.1
my $lol = [ [qw/745 36 66/], [qw/895 37 68/], [qw/442 47 64/], [qw/440 32 53/], [qw/1598 1 101/], ]; use Statistics::MVA::MultipleRegression; # Call exported routine on List-of-List of data (each nested list - row - corresponds to a set of observations. In void-context it prints a report to STDOUT. linear_regression($lol); # In LIST-context the routine returns an ARRAY reference of the coefficients and R^2. my ($Array_ref_of_coefficients, $R_sq) = linear_regression($d);
The general purpose of multiple regression is to gain information about the relationship between several independent variables (x_i) and a dependent variable (y). The procedure involves fitting an equation of the form: y = b_o + x_1 * b_1 + x_2 * b_2 +... ... x_n * b_n This is a minimal implementation of least squares procedure that accepts a List-of-Lists in which each nested list corresponds to a single set of observations. The single exported routine returns the coefficients (b_i) and R^2.
'Carp' => '1.08', 'Statistics::MVA' => '0.0.1', 'List::Util' => '1.19', 'Math::MatrixReal' => '2.05',
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Daniel S. T. Hughes
Copyright (c) 2010, Daniel S. T. Hughes
<email@example.com>. All rights reserved.
This module is free software; you can redistribute it and/or modify it under the same terms as Perl itself. See perlartistic.
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