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Window Reference |

Use the Dynamic Regression Specification window to specify a dynamic regression or transfer function model for the effect of the predictor variable. It is invoked from the Dynamic Regressors Selection window.

`Series`-
is the name and variable label of the current series.
`Input Model`-
is a descriptive label for the dynamic regression model.
You can type a label in this field or allow the system to provide the label.
If you leave the label blank,
a label is generated automatically based on the options you specify.
When no options are specified, the label is the name and variable label
of the predictor variable.
`Input Transformation`-
displays the transformation specified for the predictor variable.
When a transformation is specified,
the transfer function model is fit to the transformed input variable.
`Lagging periods`-
is the pure delay in the effect of the predictor,
*l*. `Simple Order of Differencing`-
is the order of differencing,
*d*. Set this field to 1 to use the changes in the predictor variable. `Seasonal Order of Differencing`-
is the order of seasonal differencing,
*D*. Set this field to 1 to difference the predictor variable at the seasonal lags, for example, to use the year-over-year or week-over-week changes in the predictor variable. `Simple Order Numerator Factors`-
is the order of the numerator factor of the transfer function,
*p*. `Seasonal Order Numerator Factors`-
is the order of the seasonal numerator factor of the transfer function,
*P*. `Simple Order Denominator Factors`-
is the order of the denominator factor of the transfer function,
*q*. `Seasonal Order Denominator Factors`-
is the order of the seasonal denominator factor
of the transfer function,
*Q*. `OK`-
closes the window and adds the dynamic regression model specified
to the model predictors list.
`Cancel`-
closes the window without adding the dynamic regression model.
Any options you specified are lost.
`Reset`-
resets all options to their initial values upon entry to the window.
This may be useful when editing a predictor specification;
otherwise, Reset has the same function as Clear.
`Clear`- resets all options to their default values.

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