You are right. and I am aware of that.

This is what I need to do:
load a regression model
load the bigget posible matrix
do prediction on this matrix

the first and 3rd step will not need to much memory... 

and I would really appreciate this degree of introspection from R: it would be 
great if there would be a package that could simulate the amount of memory 
needed from a process
But I don't pretend that much, this is why I am asking only about  a function 
able to build a matrix matrix, with size based on memory available...




> Hi
> 
> creating a biggest possible matrix does not automaticaly mean you can 
> do some computation with it. 
> 
> So the size will depend partly on what you want to do with it. I 
> presume that you do not want only to create a matrix just for 
> pleasure to be able to.
> 
> Cheers
> Petr
>  
> 
> On 2 Mar 2007 at 10:15, Bruno C. wrote:
> 
> Date sent:            Fri, 2 Mar 2007 10:15:33 +0100
> From:                 "Bruno C." <[EMAIL PROTECTED]>
> To:                   "r-help" <[EMAIL PROTECTED]>
> Subject:              [R] Reformulated  matrices dimensions limitation problem
> 
> > First I wanted to thank both Marc Schwartz Greg Snow and for their
> > reply.
> > 
> > Then I needed to add a level of complexity to the problem.
> > I would be able to create the biggest possible matrix.
> > 
> > In other way does it exist a method to ask smthing like the following
> > :
> > 
> > max number of rows for a matrix if column=x?
> > 
> > Thank you
> > 
> > 
> > 
> > 
> > 
> > ------------------------------------------------------
> > Passa a Infostrada. ADSL e Telefono senza limiti e senza canone
> > Telecom http://click.libero.it/infostrada2marz07
> > 
> > ______________________________________________
> > [email protected] mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html and provide commented,
> > minimal, self-contained, reproducible code.
> 
> Petr Pikal
> [EMAIL PROTECTED]
> 
> 


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