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/
14 lines
637 B
Plaintext
14 lines
637 B
Plaintext
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
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y= c(0)*x(0) + c(1)*x1 + c(2)*x2 + ... + c(k)*xk
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given a data set of N observations, each with k independent x variables
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and one y variable. Naturally, N must be greater than k---and preferably
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considerably greater. Any reasonable undergraduate statistics book will
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explain what a regression is. Most of the time, the user will provide a
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constant ('1') as x(0) for each observation in order to allow the
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|
regression package to fit an intercept.
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WWW: http://search.cpan.org/dist/Statistics-Regression/
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