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If the PLOTS= option is used on the PROC ARIMA statement and future-period forecasts are not computed by the FORECAST statement, then the procedure may return the following error:

This can occur if a model with no input variables is estimated and the LEAD=0 option is used on the FORECAST statement. It can also occur if a model with input variables is estimated, but future values of those input variables are not provided, and a FORECAST statement is used with a positive LEAD= specification and the PRINTALL option.

The Read Access Violation error occurs because the procedure is not able to compute out-of-sample forecast values to pass to the Statistical Graphics subsystem in order to produce the plots requested by the PLOTS= option.

To circumvent the problem for models with no input variables, specify a positive LEAD= value. To circumvent the problem for models with input variables, provide future values of the input variables to cover the LEAD= forecast horizon. This can be done either by including future values of the input variables on the DATA= data set or by specifying prior IDENTIFY and ESTIMATE statements in the same PROC ARIMA step to fit models to the input variables before fitting the model for the response variable. Note: the latter circumvention can only be used if the input variables are continuous. If intervention variables are used as inputs, then future values of these intervention variables must be provided on the DATA= data set.

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