Comparison of Prediction- and Correlation-Based Methods to Select the Best Subset of Principal Components for Principal Component Regression and Detect Outlying Objects-Reference-Cited by-同舟云学术

Comparison of Prediction- and Correlation-Based Methods to Select the Best Subset of Principal Components for Principal Component Regression and Detect Outlying Objects

Published:1998-11 Issue:11 Volume:52 Page:1425-1434
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Verdú-Andrés J.¹,Massart D. L.¹

Affiliation:

1. Chemo AC, Farmaceutisch Instituut, Vrije Universiteit Brussel, Laarbeeklaan 103, B1090-Brussel, Belgium

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/0003702981942843

Reference22 articles.

1. A Primer on Multivariate Calibration

2. Principal component regression in NIR analysis: Viewpoints, background details and selection of components

3. A Note on the Use of Principal Components in Regression

4. A correlation principal component regression analysis of NIR data

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