SAS/ETS software includes an easy-to use procedure for automatic forecasting, using simple popular methods such as exponential smoothing and the Holt-Winters method. The FORECAST procedure provides forecasting of univariate time series using automatic trend extrapolation. You can use PROC FORECAST when you have many series to forecast and want to extrapolate trends without having to develop a model for each series.
The features of the FORECAST procedure include
a choice of the following four forecasting methods
exponential smoothing : single, double, triple, or Holt two-parameter smoothing
stepwise autoregressive models with constant, linear, or quadratic trend and autoregressive errors to any order
the Holt-Winters forecasting method with constant, linear, or quadratic trend
additive variant of the Holt-Winters method
support for up to three levels of seasonality for the Holt-Winters method: time-of year, day-of-week, or time-of day
the ability to forecast any number of variables at once
forecast confidence limits for all methods
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