predict.rpart and large datasets

Well, I'm no expert, but my first suggestion would be to ask the Splus
people.

HTH

Regards,

Mike

Hi folks,
    
    I'm getting the following error message when using predict.rpart on a
    large dataset (say 100,000 records) within Splus:
    
    Terminating S Session: Signal: bad address signal
    
    Has anyone run into this error, discovered a work-around, etc.?
    
    More generally, I'm trying to use predict.rpart to generate predictions
    from very large, geographic datasets (we're talking all of Yellowstone
    National Park, on the order of 20 million pixels).  Has anyone come up
    with a reasonable method to process big datasets using predict.rpart?
    I've been experimenting with a C program that sequentially calls
    predict.rpart to process smaller subsets of a large dataset using the
    call_S() Splus function, but it's really slow.  I would appreciate any
    suggestions.
    
    Regards,
    
    Chris Wright
    
    p.s. I would like to subscribe to the r-help list 
    
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