NAME

Statistics::LinearRegression - simple linear regression

SYNOPSIS

Gather some data

my @arguments = 1,2,3;
my @values = 3,2,1;

Build model and predict value for some x using object

use Statistics::LinearRegression;
my $x = 15;
my $y = my LR.new(@arguments, @values).at($x);

If you prefer bare functions, use :ALL

use Statistics::LinearRegression :ALL;
my ($slope, $intercept) = get-parameters(@arguments, @values);
my $x = 15;
my $y = value-at($x, $slope, $intercept);

DESCRIPTION

LinearRegression finds slope and intercept parameters of linear function by minimizing mean square error.

Value at y is calculated using y = slope × x + intercept.

TODO

R^2 and p-value calculation
support for other objective functions

CHANGES

1.1.0 LR class exported by default, bare subroutines need :ALL

AUTHOR

Paweł Szulc

COPYRIGHT AND LICENSE

This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.