_pages/Varadhan.h
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> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On
> Behalf Of Alex Roy
> Sent
(UniPa)
Cc: r-help@r-project.org
Subject: Re: [R] Linear Regression Problem
Dear Vito,
Thanks for your comments. But I want to do Simple linear
regression not Multiple Linear regression. Multiple Linear regression is not
possible here as number of variables are much more than samples.
y))
Andy
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Alex Roy
> Sent: Tuesday, July 14, 2009 11:29 AM
> To: Vito Muggeo (UniPa)
> Cc: r-help@r-project.org
> Subject: Re: [R] Linear Regression Problem
>
>
Dear Vito,
Thanks for your comments. But I want to do Simple linear
regression not Multiple Linear regression. Multiple Linear regression is not
possible here as number of variables are much more than samples.( X is ill
condioned, inverse of X^TX does not exist! )
I just want to tak
dear Alex,
I think your problem with a large number of predictors and a relatively
small number of subjects may be faced via some regularization approach
(ridge or lasso regression..)
hope this helps you,
vito
Alex Roy ha scritto:
Dear All,
I have a matrix say, X ( 100 X 40
Dear All,
I have a matrix say, X ( 100 X 40,000) and a vector say, y
(100 X 1) . I want to perform linear regression. I have scaled X matrix by
using scale () to get mean zero and s.d 1 . But still I get very high
values of regression coefficients. If I scale X matrix, then the
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