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 LISR...

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Bibliographic Details

Main Author:	Lohmöller, Jan-Bernd (Author)
Format:	Electronic eBook
Language:	English
Published:	Heidelberg Physica-Verlag HD 1989
Edition:	1st ed. 1989
Subjects:	Economic Theory/Quantitative Economics/Mathematical Methods Economic theory Pfadmodell Strukturmodell Latente Variable Varianzanalyse Pfadanalyse Methode der partiellen kleinsten Quadrate Hochschulschrift
Online Access:	BTU01 Volltext
Summary:	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
Physical Description:	1 Online-Ressource (286 p. 1 illus)
ISBN:	9783642525124
DOI:	10.1007/978-3-642-52512-4