In the classical decomposition method O A. First you smooth data, followed by de-seasonalizing the data, projecting by trend extrapolation, and then building back seasonality factors for the final forecast. OB. First you use the naive method, then use smoothing method followed by seasonality adjustments. LOC. First you extrapolate the trend, then smooth the data set, then deseasonalize the data, and then forecast using a trend graph OD. First you de-seasonalize the time series, then smooth by centered moving average, and then extrapolate the trend, and then build seasonality back for the final forecast