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/
13 lines
637 B
Text
13 lines
637 B
Text
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/
|