Statistics::LinearRegression - simple linear regression
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);
LinearRegression finds slope and intercept parameters of linear function by minimizing mean square error.
Value at y is calculated using y = slope × x + intercept
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R^2 and p-value calculation
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support for other objective functions
- 1.1.0 LR class exported by default, bare subroutines need :ALL
Paweł Szulc pawel_szulc@onet.pl
Copyright 2016 Paweł Szulc
This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.