Regression

Frank Westad; Marta Bevilacqua; Federico Marini

doi:10.1016/B978-0-444-59528-7.00004-1

Regression

Frank Westad, Marta Bevilacqua, Federico Marini

25 Citations (Scopus)

Abstract

In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.

Original language	English
Title of host publication	Chemometrics in Food Chemistry
Editors	Federico Marini
Publisher	Elsevier
Publication date	2013
Pages	127 - 170
Chapter	4
ISBN (Print)	978-0-444-59528-7
DOIs	https://doi.org/10.1016/B978-0-444-59528-7.00004-1
Publication status	Published - 2013
Externally published	Yes

Series	Data Handling in Science and Technology
Volume	28
ISSN	0922-3487

Keywords

Calibration
Regression
Validation
Model diagnostics
Latent variables
Prediction error
Variable selection

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10.1016/B978-0-444-59528-7.00004-1

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title = "Regression",

abstract = "In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.",

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AU - Bevilacqua, Marta

AU - Marini, Federico

PY - 2013

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AB - In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.

KW - Calibration

KW - Regression

KW - Validation

KW - Model diagnostics

KW - Latent variables

KW - Prediction error

KW - Variable selection

U2 - 10.1016/B978-0-444-59528-7.00004-1

DO - 10.1016/B978-0-444-59528-7.00004-1

M3 - Book chapter

SN - 978-0-444-59528-7

T3 - Data Handling in Science and Technology

SP - 127

EP - 170

BT - Chemometrics in Food Chemistry

A2 - Marini, Federico

PB - Elsevier

ER -

Regression

Abstract

Keywords

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