Book description
Whether your model is deterministic, or involves necessary “noise†as well as a “signal,†JMP is equipped to handle your modeling needs. JMP 11 Multivariate Methods shows you how to take advantage of the modeling platforms Multivariate, Cluster, Discriminant, Principal Components, and Partial Least Squares.
Table of contents
- Contents
- Learn about JMP
- Introduction to Multivariate Analysis
- Correlations and Multivariate Techniques
- Cluster Analysis
- Principal Components
- Discriminant Analysis
-
Partial Least Squares Models
- Develop Models Using Correlations Between Ys and Xs
- Overview of the Partial Least Squares Platform
- Example of Partial Least Squares
- Launch the Partial Least Squares Platform
- Model Launch Control Panel
- The Partial Least Squares Report
- Partial Least Squares Options
- Model Fit Options
- Statistical Details
- References
- Statistical Details
- Index
Product information
- Title: JMP 11 Multivariate Methods
- Author(s):
- Release date: September 2013
- Publisher(s): SAS Institute
- ISBN: 9781612906751
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