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Regression.pm is a multivariate linear regression package.

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That is, it estimates the c coefficients for a line-fit of the type

      y= c(0)*x(0) + c(1)*x1 + c(2)*x2 + ... + c(k)*xk

given a data set of N observations, each with k independent x variables
and one y variable. Naturally, N must be greater than k---and preferably
considerably greater. Any reasonable undergraduate statistics book will
explain what a regression is. Most of the time, the user will provide a
constant ('1') as x(0) for each observation in order to allow the
regression package to fit an intercept.

WWW: http://search.cpan.org/dist/Statistics-Regression/
This commit is contained in:
Cheng-Lung Sung 2007-04-07 03:02:00 +00:00
parent 1683f995b9
commit 1cfd4012b3
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=189404
5 changed files with 44 additions and 0 deletions
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1
math/Makefile
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@ -266,6 +266,7 @@
SUBDIR += p5-Statistics-LineFit
SUBDIR += p5-Statistics-Lite
SUBDIR += p5-Statistics-OLS
SUBDIR += p5-Statistics-Regression
SUBDIR += p5-Task-Math-Symbolic
SUBDIR += pari
SUBDIR += parmetis

22
math/p5-Statistics-Regression/Makefile Normal file
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@ -0,0 +1,22 @@
# New ports collection makefile for: math/p5-Statistics-Regression
# Date created: Apr 7, 2007
# Whom: Cheng-Lung Sung <clsung@FreeBSD.org>
#
# $FreeBSD$
#
PORTNAME= Statistics-Regression
PORTVERSION= 0.50
CATEGORIES= math perl5
MASTER_SITES= ${MASTER_SITE_PERL_CPAN}
MASTER_SITE_SUBDIR= Statistics
PKGNAMEPREFIX= p5-
MAINTAINER= clsung@FreeBSD.org
COMMENT= Perl module to perform weighted linear regression
PERL_CONFIGURE= yes
MAN3= Statistics::Regression.3
.include <bsd.port.mk>

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math/p5-Statistics-Regression/distinfo Normal file
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@ -0,0 +1,3 @@
MD5 (Statistics-Regression-0.50.tar.gz) = 4930f08a214ec91243b6846d9ddbe5fe
SHA256 (Statistics-Regression-0.50.tar.gz) = 2bbf3310ad95ac942a7b7f666c1e1dbc8a8286b542ce727ba35d69daad56a7e3
SIZE (Statistics-Regression-0.50.tar.gz) = 22268

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math/p5-Statistics-Regression/pkg-descr Normal file
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@ -0,0 +1,13 @@
Regression.pm is a multivariate linear regression package.
That is, it estimates the c coefficients for a line-fit of the type
y= c(0)*x(0) + c(1)*x1 + c(2)*x2 + ... + c(k)*xk
given a data set of N observations, each with k independent x variables
and one y variable. Naturally, N must be greater than k---and preferably
considerably greater. Any reasonable undergraduate statistics book will
explain what a regression is. Most of the time, the user will provide a
constant ('1') as x(0) for each observation in order to allow the
regression package to fit an intercept.
WWW: http://search.cpan.org/dist/Statistics-Regression/

5
math/p5-Statistics-Regression/pkg-plist Normal file
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@ -0,0 +1,5 @@
%%SITE_PERL%%/%%PERL_ARCH%%/auto/Statistics/Regression/.packlist
%%SITE_PERL%%/Statistics/Regression.pm
@dirrm %%SITE_PERL%%/%%PERL_ARCH%%/auto/Statistics/Regression
@dirrmtry %%SITE_PERL%%/%%PERL_ARCH%%/auto/Statistics
@dirrmtry %%SITE_PERL%%/Statistics