Hello everyone,
I was trying to fit an arima model to a daily historical data, but, for
some reason, havent been able to.
I basically have 212 observations (from 12/1/2012 to 06/30/2013) containing
the number of transits for a particular vessel.
The following messages are produced by R:
dailytrans.fit<-arima(dailytrans$transits, order=c(0,1,2),
seasonal=list(order=c(0,1,2), period=365), include.mean=FALSE)
Error in arima(dailytrans$transits, order = c(0, 1, 2), seasonal =
list(order = c(0, :
too few non-missing observations
> dailytrans.fit<-arima(dailytrans$transits, order=c(0,1,2),
seasonal=list(order=c(0,1,2), period=200), include.mean=FALSE)
Error in makeARIMA(trarma[[1]], trarma[[2]], Delta, kappa) :
maximum supported lag is 350
Then I tried the auto.arima function but the following happened:
fit<-auto.arima(dailytrans$transits)
Warning in if (class(fit) != "try-error") offset <- -2 * fit$loglik -
length(x) * :
the condition has length > 1 and only the first element will be used
If anyone could give me some guidance I will really truly appreciate it,
Best regards,
Paul
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