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2008 Oct 15
1
Forecasting using ARIMAX
...RIMA(0,1,1) : 4443.709 ARIMA(2,1,1) : 4400.818 ARIMA(1,1,0) : 4409.569 ARIMA(1,1,2) : 4400.196 ARIMA(0,1,0) : 4526.782 ARIMA(2,1,2) : 4401.824 Best model: ARIMA(1,1,1) > (bestOrder <- cbind(modArima$arma[1],modArima$arma[5],modArima$arma[2])) [,1] [,2] [,3] [1,] 1 1 1 > (bestSessionOrder <- cbind(modArima$arma[3],modArima$arma[6],modArima$arma[4])) [,1] [,2] [,3] [1,] 0 1 0 > modArimax <- arimax(depVar[1:nTrain,], order=bes...