Multilinear partial least squares regression

04-10-99


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Table of Contents

Multilinear partial least squares regression

Multilinear PLS regression Outline

Introduction

Introduction Unfolding

Models

PARAFAC

PARAFAC - uniqueness

PARAFAC - uniqueness

Multilinear PLS regression

Multilinear PLS regression

Multilinear PLS regression

Multilinear PLS regression

Multilinear PLS1 MATLAB CODE

Traditional calibration Two types

Three-way calibration Regression-based

Using constraints FIA example

Predictions FIA example

Loadings FIA example

Fluorescence Example sugar processing

Fluorescence Sugar data

Fluorescence Using the chemical info

Example batch data

Example batch data

Example batch data

Regression-based calibration Example sensory data

Interpretation of model Two-way PLSr on average

Interpretation of model Two-way PLSr on raw

Interpretation of model Three-way PLSr on raw

Three-way calibration Sensory data

Three-way calibration Sensory data

Three-way calibration Compare predictions

Three-way preprocessing

Three-way preprocessing Incorrect scaling

Three-way preprocessing Incorrect centering

Three-way preprocessing

Concluding remarks

Concluding remarks

Conclusion

Author: RBJ

Email: rb@kvl.dk