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.