Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
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- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The LOESS Procedure
- implements a nonparametric method for estimating regression surfaces
- supports the use of multidimensional data
- supports multiple dependent variables
- supports both direct and interpolated fitting that uses kd trees
- performs statistical inference
- performs automatic smoothing parameter selection
- performs iterative reweighting to provide robust fitting when there are outliers in the data
- obtain separate analyses on observations in groups
- perform weighted estimation
- score external data sets
- uses ODS to create a SAS data set corresponding to any table
- supports graphical displays produced through ODS Graphics
For further details see the SAS/STAT User's Guide:
The LOESS Procedure
( PDF | HTML )
Examples
- Engine Exhaust Emissions
- Sulfate Deposits in the U.S. for 1990
- Catalyst Experiment
- El Niño Southern Oscillation
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