Hi, I am trying out a generalized least squares method of forecasting that corrects for autocorrelation. I downloaded daily stock data from Yahoo Finance, and am trying to predict Close (n=7903). I have learned to use date functions to extract indicator variables for Monday - Friday (and Friday is missing in the model to prevent it from becoming full rank). When I run the following code...
> library(nlme) > MyModel <- gls(Close ~ Monday + Tuesday + Wednesday + Thursday, correlation=corARMA(p=2), data=MyData, method="ML") ...I get the following error... Error in corFactor.corARMA(object) : Calloc could not allocate (62457409 of 8) memory ...Does anybody know what I'm doing wrong? I appreciate any help. Thanks. -- View this message in context: http://www.nabble.com/Errors-using-nlme%27s-gls-with-autocorrelation-tp17026417p17026417.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.