Re: [R] Maximum # of predictors?

From: A.J. Rossini <blindglobe_at_gmail.com>
Date: Mon 09 May 2005 - 04:11:19 EST

Your data won't support it. It has nothing to do with R or any other decent linear regression fitting software.

I've seen up to 60 indep variables, with a data set for which it almost made sense.

best,
-tony

On 5/8/05, Jim BRINDLE <j_brindle@hotmail.com> wrote:
> Hello,
>
> Is there anyway one can have more than 11 independent variables in a
> regression model? To hopefully illustrate: with 13 predictors in my model,
> the last 2 coefficient estimates are "NA". When I view the summary, it
> indicates that 2 coefficients are "not defined because of singularities". I
> am using the command:
>
> mod <- lm(y ~ ., data = volumes[,3:22])
>
> I am fairly new to R so I don't know if my issue is something inherent to R
> or my modeling approach.
>
> Any insight would be most appreciated... Thanks in advance
>
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>

-- 
best,
-tony

"Commit early,commit often, and commit in a repository from which we can easily
roll-back your mistakes" (AJR, 4Jan05).

A.J. Rossini
blindglobe@gmail.com

______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Received on Mon May 09 04:18:17 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:31:38 EST