To include future input (independent) values for the time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) in your project, include these future values in the input data set. For example, suppose that you are running a book store. For the next three months, the publisher will sell you copies of a book for $20. Because you know this future input value for the series, you want to use the values from your input data set rather than have SAS Visual Forecasting generate a forecasta numerical prediction of a future value for a specified time period for each unique combination of BY variable values. Future values for dependent variables must be set to missing.
If future independent variable values are not provided, SAS Visual Forecasting extends the future independent variable series using a smoothing model.