1cfd4012b3
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 lines
255 B
Text
5 lines
255 B
Text
%%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
|