Series to Display (Temporal Causal Modeling)
These options specify the series (targets or inputs) for which output is displayed. The content of the output for the specified series is determined by the Output Options settings.
 Display targets associated with bestfitting models
 By default, output is displayed for the targets that are associated with the 10
bestfitting models, as determined by the R square value. You can specify a different
fixed number of bestfitting models or you can specify a percentage of bestfitting
models. You can also choose from the following goodness of fit measures:
 R square
 Goodnessoffit measure of a linear model, sometimes called the coefficient of determination. It is the proportion of variation in the target variable explained by the model. It ranges in value from 0 to 1. Small values indicate that the model does not fit the data well.
 Root mean square percentage error
 A measure of how much the modelpredicted values differ from the observed values of the series. It is independent of the units that are used and can therefore be used to compare series with different units.
 Root mean square error
 The square root of mean square error. A measure of how much a dependent series varies from its modelpredicted level, expressed in the same units as the dependent series.
 BIC
 Bayesian Information Criterion. A measure for selecting and comparing models based on the 2 reduced log likelihood. Smaller values indicate better models. The BIC also "penalizes" overparameterized models (complex models with a large number of inputs, for example), but more strictly than the AIC.
 AIC
 Akaike Information Criterion. A measure for selecting and comparing models based on the 2 reduced log likelihood. Smaller values indicate better models. The AIC "penalizes" overparameterized models (complex models with a large number of inputs, for example).
 Specify Individual Series

You can specify individual series for which you want output.
 For columnbased data, you specify the fields that contain the series that you want. The order of the specified fields defines the order in which they appear in the output.
 For multidimensional data, you specify a particular series by adding an entry to
the grid for the metric field that contains the series. You then specify the
values of the dimension fields that define the series.
 You can enter the value for each dimension field directly into the grid or you can select from the list of available dimension values. To select from the list of available dimension values, click the ellipsis button in the cell for the dimension that you want. This action opens the Select Dimension Value subdialog.
 You can search the list of dimension values, on the Select Dimension Value subdialog, by clicking the binoculars icon and specifying a search term. Spaces are treated as part of the search term. Asterisks (*) in the search term do not indicate wildcard characters.
 The order of the series in the grid defines the order in which they appear in the output.
For both columnbased data and multidimensional data, output is limited to 30 series. This limit includes individual series (inputs or targets) that you specify and targets that are associated with bestfitting models. Individually specified series take precedence over targets that are associated with bestfitting models.