Hi,

I am trying to use autoarima function to make prediction of more than
10000 items ( each has 100 values so it is 10000x100 dimension matrix)
with frequency 52(weekly forecast). The problem is that some of fitted
arimas have drift and some not. It gives this error and stop processing 

Best model: ARIMA(1,0,0)(0,1,0)[52] with drift         

Error in predict.Arima(fitted.arima, n.ahead = 28) : 

  'xreg' and 'newxreg' have different numbers of columns: 1 != 0

And when I put the newxreg=number of rows+number of predicts which is in
my model 128 in the predict function it gives the same error for non
drifts.

Best model: ARIMA(2,0,0)(0,1,0)[52]                    

Error in predict.Arima(fitted.arima, n.ahead = 28, 128) : 

  'xreg' and 'newxreg' have different numbers of columns: 0 != 1

 

Do any one has any recommendation to get rid of this error and could be
able to compile my program and get prediction for my 10000 items? I will
highly appreciate in advance.

Regards

Jeela


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