specifies the SAS data set to be read by PROC GAM. The
default value is the most recently created data set.
DESCENDING
DESC
reverses the sort order of all classification variables
(specified in the CLASS statement). If both the DESCENDING and ORDER= options are specified, PROC GAM orders the categories according to the ORDER= option and then reverses that order. This option has the same effect as the classification variable option DESCENDING in the CLASS statement and the response variable option DESCENDING in the MODEL statement.
ORDER=DATA | FORMATTED | FREQ | INTERNAL
specifies the sort order for the levels of all classification
variables (specified in the CLASS statement). This ordering determines which parameters in the model correspond to each level in the data. Note that the ORDER= option in the CLASS statement and the ORDER= response variable option in the MODEL statement override the ORDER= option in the PROC GAM statement.
controls the plots produced through ODS Graphics. When you specify
only one plot-request, you can omit the parentheses around the plot-request. Here are some examples:
With ODS Graphics enabled, PROC GAM produces by default a panel of plots of partial prediction curves of smoothing components.
Global Plot Options
The global-plot-options apply to all plots generated by the GAM procedure, unless altered by a specific-plot-option.
UNPACK
separately displays the smoothing component plots that are
by default presented in panels. Use this option if you want to access individual smoothing component plots within the panel.
Specific Plot Options
The following listing describes the specific plots and their options.
ALL
requests that all plots be produced.
NONE
suppresses all plots.
COMPONENTS | COMPONENT <(components-options)>
displays a panel of
smoothing component plots. The following components-options are available:
ADDITIVE
produces the additive component plots for spline
and loess effects. The additive component plots combine the linear trend and the nonparametric prediction for each spline or loess effect.
CLM
includes confidence limits in the smoothing component plots. By
default, 95% confidence limits are produced, but you can change the significance level by specifying the ALPHA= option in the MODEL statement. Note that producing these limits can be computationally intensive for large data sets.
COMMONAXES
specifies that smoothing component plots use a common vertical
axis. This enables you to visually judge relative effect size.