The LOESS Procedure
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Overview
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Getting Started
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Syntax
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DetailsMissing ValuesOutput Data SetsData ScalingDirect versus Interpolated Fittingk-d Trees and BlendingLocal WeightingIterative ReweightingSpecifying the Local PolynomialsSmoothing MatrixModel Degrees of FreedomStatistical Inference and Lookup Degrees of FreedomAutomatic Smoothing Parameter SelectionSparse and Approximate Degrees of Freedom ComputationScoring Data SetsODS Table NamesODS Graphics
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Examples
- References
The following statements are available in the LOESS procedure:
PROC LOESS
<DATA=SAS-data-set> ;
MODEL
dependents = regressors </ options> ;
OUTPUT
<OUT=SAS-data-set> <keyword <=name>> <…keyword <=name>> </ options> ;
ID
variables ;
BY
variables ;
WEIGHT
variable ;
SCORE
DATA=SAS-data-set <ID=(variable-list)> </ options> ;
The PROC LOESS and MODEL statements are required. The OUTPUT, BY, WEIGHT, and ID statements are optional. The SCORE statement is optional, and more than one SCORE statement can be used.
The statements used with the LOESS procedure, in addition to the PROC LOESS statement, are as follows.
- BY
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specifies variables to define subgroups for the analysis.
- ID
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names variables to identify observations in the displayed output.
- MODEL
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specifies the dependent and independent variables in the loess model, details and parameters for the computational algorithm, and the required output.
- OUTPUT
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creates an output data set containing predicted values, residuals, and results of statistical inference.
- SCORE
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specifies a data set containing observations to be scored.
- WEIGHT
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declares a variable to weight observations.