[R] problem with seasonal arima

[Prof Brian Ripley]

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 
> 
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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