[R] Maximum # of predictors?

A.J. Rossini blindglobe at gmail.com
Sun May 8 20:11:19 CEST 2005

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.


On 5/8/05, Jim BRINDLE <j_brindle at 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
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"Commit early,commit often, and commit in a repository from which we can easily
roll-back your mistakes" (AJR, 4Jan05).

A.J. Rossini
blindglobe at gmail.com

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