Book description
Whether your model is deterministic, or involves necessary â€œnoiseâ€ as well as a â€œsignal,â€ 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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