EVRI-thing You Need to Know About How to do Partial Least Squares Regression

Apr 22, 2021
An introduction to one of the most widely used methods in machine learning: Partial Least Squares (PLS) Regression. Eigenvector’s Neal B. Gallagher and Lyle Lawrence will introduce you to PLS and show you how to use PLS_Toolbox and Solo to quickly develop PLS models for prediction! In this webinar we  cover:
  • Why and how PLS works
  • The Analysis interface for PLS Regression
  • Cross Validation of PLS models
  • Viewing and interpreting PLS models
  • Applying models to new data
  • Saving and documenting PLS model

Table of Contents

00:00 – Introduction and Outline

04:00 – PLS Theory and comparison with MCL and PCR

11:48 – NIR Data Set Example

44:06 – Octane Data Set Example

55:20 – Summary

56:32 – Prediction Statistics