| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | - Take advantage of CPAN macro from bsd.sites.mk, change ↵ | Marcelo Araujo | 2008-04-17 | 1 | -2/+1 |
| | | | | | | | | | | | | | ${MASTER_SITE_PERL_CPAN} to CPAN. PR: ports/122674 Submitted by: Philip M. Gollucci <pgollucci@p6m7g8.com> Reworked by: araujo (myself) Approved by: portmgr (pav) Notes: svn path=/head/; revision=211450 | ||||
| * | - Update to 0.53 | Cheng-Lung Sung | 2007-07-09 | 2 | -4/+4 |
| | | | | | Notes: svn path=/head/; revision=195263 | ||||
| * | Regression.pm is a multivariate linear regression package. | Cheng-Lung Sung | 2007-04-07 | 4 | -0/+43 |
| 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/ Notes: svn path=/head/; revision=189404 | |||||
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