[Rd] lm() appears to fail with large number of variables (PR#744)
ligges@statistik.uni-dortmund.de
ligges@statistik.uni-dortmund.de
Wed, 22 Nov 2000 22:02:17 +0100 (MET)
r@marksmucker.com wrote:
>
> Full_Name: Mark Smucker
> Version: 1.1.1
> OS: Windows NT
> Submission from: (NULL) (63.91.145.254)
>
> Hi,
>
> I have a data frame with 11 observations and 603 variables.
>
> When I call,
>
> willRaw.fit <- lm( performance ~ ., data=willRaw )
>
> lm() runs without problems, but computes coefficients for
> only the first 10 variables. The remaining variables
> get a coefficient of NA.
>
> There are no NA values in the data frame. performance
> is one of the columns of the data frame. I'd be happy
> to email the data file (gzip'd or zip'd).
>
> My apologies if I've done some stupid (yes, I know it's
> not wise to fit a model to 603 variables, but I was
> just playing around).
That's not a bug!
What do you think about the degrees of freedom, if you have got 11
observations and 603 variables? !!!
Uwe Ligges
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