Save (Temporal Causal Model Forecasting)

Save Targets
You can save model predictions, confidence intervals, and residuals as new variables. Each specified target to save generates its own set of new variables, and each new variable contains values for both the estimation and forecast periods. For predicted values, confidence intervals, and noise residuals you can specify the root name to be used as the prefix for the new variables. The full variable name is the concatenation of the root name and the name of the field that contains the target series. The root name must conform to the rules for valid variable names. The variable name is extended if necessary to avoid variable naming conflicts.
Indicate cases containing forecasts
Creates a variable that indicates whether a record contains forecast data. You can specify the variable name. The default is ForecastIndicator.
Targets to save
Specifies whether new variables are created for all target series in the model system or just the target series that are specified on the Series to Display settings.
Destination Options
You can save both transformations of the data (such as aggregation or imputation of missing values) and new variables (specified on the Save Targets settings) to an IBM® SPSS® Statistics data file or a new dataset in the current session. Date/time values in the saved data are aligned to the beginning of each time interval, such as the first of the month, and represent the time interval of the analysis for the model system. You can save any new variables to the active dataset only if the observations are defined by a date specification, or record order, and the data are not aggregated.
Export model system
Saves the model system to a compressed file archive (.zip file). The model system file can be reused by this procedure. It can also be used by the Temporal Causal Model Scenarios procedure to run scenario analysis. This option is only available when model parameters are reestimated.