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
- Multivariate Analysis
- 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 PRINCOMP Procedure
- performs principal component analysis
- input can be in the form of raw data, a correlation matrix, a covariance matrix, or a sum-of-squares-and-crossproducts (SSCP) matrix
- creates output data sets containing eigenvalues, eigenvectors, and standardized or unstandardized principal component scores
- use ODS Graphics to display the scree plot, component pattern plot, component pattern profile plot, matrix plot of component scores, and component score plots
- obtain separate analyses on observations in groups
- use relative weights for each observation in the input data set
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The PRINCOMP Procedure
( PDF | HTML )
Examples
Statistics and Operations Research Home Page | SAS/STAT Software
