[R] kernlab - error message: array(0, c(n, p)) : 'dim' specifies too large an array

[Martin Batholdy]

Ok, I am sorry,

My trainingset consists of a 60 x 204 matrix (independent_training – 204 features).
I have 60 continuous labels (dependent_training, ranging from 2.25 to 135).

this is all the code I use:

library(kernlab)
rvm(as.matrix(independent_training), dependent_training, type="regression", kernel = "vanilladot")



On 13.02.2012, at 16:40, David Winsemius wrote:

> 
> On Feb 13, 2012, at 10:23 AM, Martin Batholdy wrote:
> 
>> Hi,
>> 
>> For another trainingset I get this error message, which again is rather cryptic to me:
>> 
> Just imagine how it seems to us!
> 
>> Setting default kernel parameters
>> 
>> Error in array(0, c(n, p)) : 'dim' specifies too large an array
>> RMate stopped at line 0 of selection
>> Calls: rvm ... .local -> backsolve -> as.matrix -> chol -> diag -> array
> 
> You are on you way to the prize for the greatest number of cryptic (your word) postings in a short interval. (And this one doesn't even have the context of your posting of 8 minutes ago.)
> 
>> thanks for any suggestions!
> 
> More details about data and code.
> 
> -- 
> David Winsemius, MD
> West Hartford, CT
>