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About this book
Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Latent Variable Path Modeling with Partial Least Squares
Authors: Jan-Bernd Lohmöller
DOI: https://doi.org/10.1007/978-3-642-52512-4
Publisher: Physica Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1989
Softcover ISBN: 978-3-642-52514-8Published: 20 November 2013
eBook ISBN: 978-3-642-52512-4Published: 11 November 2013
Edition Number: 1
Number of Pages: 286
Number of Illustrations: 1 b/w illustrations
Topics: Economic Theory/Quantitative Economics/Mathematical Methods