The LOESS Procedure
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Overview
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Getting Started
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Syntax
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Details
Missing Values Output Data Sets Data Scaling Direct versus Interpolated Fitting kd Trees and Blending Local Weighting Iterative Reweighting Specifying the Local Polynomials Smoothing Matrix Model Degrees of Freedom Statistical Inference and Lookup Degrees of Freedom Automatic Smoothing Parameter Selection Sparse and Approximate Degrees of Freedom Computation Scoring Data Sets ODS Table Names ODS Graphics
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Examples
- References
| ODS Table Names |
PROC LOESS assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in the following table. For more information about ODS, see Chapter 20, Using the Output Delivery System.
ODS Table Name |
Description |
Statement |
Option |
|---|---|---|---|
FitSummary |
Specified fit parameters and fit summary |
default |
|
kdTree |
Structure of kd tree used |
MODEL |
DETAILS(kdTree) |
ModelSummary |
Summary of all models evaluated |
MODEL |
DETAILS(ModelSummary) |
OutputStatistics |
Coordinates and fit results at input data points |
MODEL |
DETAILS(OutputStatistics) |
PredAtVertices |
Coordinates and fitted values at kd tree vertices |
MODEL |
DETAILS(PredAtVertices) |
ScaleDetails |
Extent and scaling of the independent variables |
default |
|
ScoreResults |
Coordinates and fit results at scoring points |
SCORE |
|
SmoothingCriterion |
Criterion value and selected smoothing parameter |
MODEL |
SELECT |