[R] loess crash

[John Deke]

Hmm... if I reduce the number of observations to just 500, I still get the 
error.

I don't think its an issue of colinearity, because I've tried several 
different combinations of variables, all of which work just fine in an OLS 
or logistic regression.

I'm probably doing something stupid, but I'm not seeing it...

At 02:00 PM 9/15/2002, John Deke wrote:
>Hi,
>
>I have a data frame with 6563 observations. I can run a regression with 
>loess using four explanatory variables. If I add a fifth, R crashes. There 
>are no missings in the data, and if I run a regression with any four of 
>the five explanatory variables, it works. Its only when I go from four to 
>five that it crashes.
>
>This leads me to believe that it is not an obvious problem with the data, 
>but rather a resource problem. But I've set the max memory option for R to 
>512 M, so I wouldn't think that I'd be running out of RAM.
>
>Is there some other memory option I need to set? Is there some limit on 
>the size of problems that loess can handle regardless of system resources?
>
>I'm running Windows 2000 and R 1.5.1. I've also run this with R 1.3. I've 
>tried it on a Pentium IV and an Athlon.
>
>If anybody knows of a solution to this problem, I would greatly appreciate it.
>
>Thanks,
>
>John
>
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