Hello everybody!
 I'm having this problem with the auto.arima function that i've not been
able to solve. I use this function on time series that contains NA values,
but every time that the resulting model contains drift I can't perform a
forecasting (using forecast.Arima function). The printed error (when I try
to forecast the resulting model) claims a dimension mismatch "nreg=newxreg"

Here is what I've been triyng to do

>ser<-auto.arima(x,start.p=0,start.q=0,start.P=0,start.Q=0,trace=TRUE,stepwise=TRUE);
>forecast(ser,h=12)

x is ts object (-monthly data-)

Thanks

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