On Tue, 16 Jan 2007, yannig goude wrote: > Hi,
> I have a problem with the ARIMA function, occuring when I set the > parameter per (the period of SARIMA model) to a high value (see the > exemple bellow). It seems that when per is high it takes a too large > amount of memory to calculate the model and I have a memory storage > error. But I don't really understand why it takes more memory when per > is high, as there is the same number of parameter to estimate. Try arima0. > Does anyone know what to do? > > exemple: > x = arima.sim(list(order=c(1,0,0), ar=.9), n=1000) > per<-200 > arima(x, order = c(1, 0, 0),seasonal = list(order =c(1, 0, 0), period =per), method='CSS') > fails whereas for per=175 it works well. > > > > > > > > --------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@stat.math.ethz.ch 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.