PLS Models

Giuseppe Boari; Gabriele Cantaluppi

doi:10.1002/9781119961154.ch16

PLS Models

Giuseppe Boari
, Gabriele Cantaluppi

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.

Original language	English
Title of host publication	Modern Analysis of Customer Surveys: With Applications using R
Editors	SILVIA SALINI, Ron S Kenett
Pages	309-332
Number of pages	24
DOIs	https://doi.org/10.1002/9781119961154.ch16
Publication status	Published - 2012

Keywords

PLS
STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

Access to Document

10.1002/9781119961154.ch16

Cite this

@inbook{418673e764404c7ba119a406e43cb84f,

title = "PLS Models",

abstract = "The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.",

keywords = "PLS, STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES, PLS, STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES",

author = "Giuseppe Boari and Gabriele Cantaluppi",

year = "2012",

doi = "10.1002/9781119961154.ch16",

language = "English",

isbn = "978-0-470-97128-4",

pages = "309--332",

editor = "SILVIA SALINI and Kenett, \{Ron S\}",

booktitle = "Modern Analysis of Customer Surveys: With Applications using R",

}

TY - CHAP

T1 - PLS Models

AU - Boari, Giuseppe

AU - Cantaluppi, Gabriele

PY - 2012

Y1 - 2012

N2 - The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.

AB - The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.

KW - PLS

KW - STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

KW - PLS

KW - STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

UR - http://hdl.handle.net/10807/13159

U2 - 10.1002/9781119961154.ch16

DO - 10.1002/9781119961154.ch16

M3 - Chapter

SN - 978-0-470-97128-4

SP - 309

EP - 332

BT - Modern Analysis of Customer Surveys: With Applications using R

A2 - SALINI, SILVIA

A2 - Kenett, Ron S

ER -

PLS Models

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this