Dear Bernd,

which version of the package vars are you using? Have tried estimating 
estimating the VAR first and only? Within the function VAR() the equations are 
estimated by lm(). Would you be so kind and send the result of traceback()?

Best,
Bernhard
 

>-----Ursprüngliche Nachricht-----
>Von: r-help-boun...@r-project.org 
>[mailto:r-help-boun...@r-project.org] Im Auftrag von 
>herrdittm...@yahoo.co.uk
>Gesendet: Samstag, 15. August 2009 15:47
>An: r-help@r-project.org
>Betreff: [R] VAR (pckg: vars) and memory problem
>
>Hi all,
>
>When I tried to estimate a VAR (package vars) of a rather 
>large dataset with 5 lags:
>
>
>> dim(trial.var) 
>[1] 20388     2 
>
>
>I ran into memory troubles:
>
>
>> summary(VAR(trial.var, type="none", p=5)) 
>Error: cannot allocate vector of size 3.1 Gb 
>In addition: Warning messages: 
>1: In diag(resids %*% solve(Sigma) %*% t(resids)) : 
>  Reached total allocation of 1535Mb: see help(memory.size) 
>2: In diag(resids %*% solve(Sigma) %*% t(resids)) : 
>  Reached total allocation of 1535Mb: see help(memory.size) 
>3: In diag(resids %*% solve(Sigma) %*% t(resids)) : 
>  Reached total allocation of 1535Mb: see help(memory.size) 
>4: In diag(resids %*% solve(Sigma) %*% t(resids)) : 
>  Reached total allocation of 1535Mb: see help(memory.size) 
>
>
>Luckily, I was able to slice and dice my dataset into 
>individual days with ca. 3000 lines each and estimated each subset.
>
>Now, I nonetheless would like to run the VAR over the whole set.
>
>Is there any way I can extend the memory used by R? Perhaps 
>forcing it? I am running R on a XP box with 1GB RAM. 
>
>
>Many thanks for any pointers.
>
>Bernd
>------------------
>______________________________________________
>R-help@r-project.org 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.
>
*****************************************************************
Confidentiality Note: The information contained in this ...{{dropped:10}}

______________________________________________
R-help@r-project.org 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.

Reply via email to