Video using JMP 19 was posted in August 2026. 

JMP’s multivariate capabilities let you understand the relationships between multiple variables simultaneously to help drive decisions. See how to reduce complicated data sets with correlated variables to a simpler set of uncorrelated variables. Then, use the reduced set of variables to explain the majority of variability in the original data.

See answers to questions from the live webinar demo:

This webinar covers: Principal components analysis, model-driven multivariate control charts, partial least squares, outlier analysis, and clustering.

See how to use:

• Variable clustering
• Discriminant Analysis
• Principal Component Analysis

Suggested prerequisites:

• Basic understanding of linear regression

Resources

• Di Michelson videos: Deeper Dive into Multicollinearity
• Documentation and examples for using Prediction Profiler
• Documentation on interpreting Principal Component options
• JMP® for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists... by Ann Lehman, Norm O'Rourke, Larry Hatcher, Edward J. Stepanski