This example illustrates how the ESM procedure can be used to specify different models for different series. Internet data from the previous example are used for this illustration.
This example, forecasts the BOATS
variable by using the seasonal exponential smoothing model (SEASONAL), the CARS
variable by using the Winters (multiplicative) model (MULTWINTERS), and the PLANES
variable by using the Log Winters (additive) model. The following ESM procedure statements forecast each of the transactional
data series based on these requirements:
proc esm data=websites out=nextweek lead=7; id time interval=dtday accumulate=total; forecast boats / model=seasonal; forecast cars / model=multwinters; forecast planes / model=addwinters transform=log; run;