The GAM Procedure
- Overview
- Getting Started
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Syntax
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DetailsMissing ValuesNonparametric RegressionAdditive Models and Generalized Additive ModelsForms of Additive ModelsEstimates from PROC GAMBackfitting and Local Scoring AlgorithmsSmoothersSelection of Smoothing ParametersConfidence Intervals for SmoothersDistribution Family and Canonical LinkDispersion ParameterComputational ResourcesODS Table NamesODS Graphics
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Examples
- References
Missing Values
When fitting a model, PROC GAM excludes any observation with missing values for an explanatory variable, offset variable, or dependent variable. However, if only the response is missing, predicted values can be computed and output to a data set by using the OUTPUT or SCORE statement.