You won't be able to do it with arima or arima0. This is not a sensible way to fit such a model, which is just 365 uncoupled time series. Just do a OLS regression on year-lagged values, or write some code to combine the likelihoods from the 365 series and maximize the combined likelihood.
On Mon, 22 Mar 2004, michele lux wrote: > hallo to all > I've to calculate an arima model and I need only the > first and 365 th parameter and also the sar1 and the > intercept, so I'm traing with: > arima(X,order=c(365,0,0),seasonal=list(order=c(1,0,0),..),fixed=c(NA,rep(0,363),NA,NA,NA),transform.pars=F) > > but the error answer is: > Error in polyroot(z) : polynomial degree too high (49 > max) > > also there are problems in allocating memory (I've 512 > mb ram) > may be somebody could help me? > can R do it? > thanks > michele > > ______________________________________________________________________ > > http://it.yahoo.com/mail_it/foot/?http://it.mail.yahoo.com/ > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > -- 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
