-------- Original Message --------
Subject:        FW: Course on PLS (Partial Least Squares) Path Modelling
(Paris, 12-13 May 2009)
Date:   Tue, 10 Feb 2009 11:04:47 -0800 (PST)
From:   F. James Rohlf <[email protected]>
Reply-To:       <[email protected]>
Organization:   Stony Brook University
To:     <[email protected]>



The meeting announcement given below may be of interest to some on the
morphmet list. It covers more general applications of the PLS approach.

=========================
F. James Rohlf
Distinguished Professor, Stony Brook University
http://life.bio.sunysb.edu/ee/rohlf

------------------------------------------------------------------------

*From:* Vincenzo Esposito Vinzi [mailto:[email protected]]
*Sent:* Saturday, February 07, 2009 2:49 PM
*To:* [email protected]
*Subject:* Course on PLS (Partial Least Squares) Path Modelling (Paris,
12-13 May 2009)



*Course on PLS Path Modelling: Foundations and Applications

12-13 May 2009
*Paris, France

http://www.xlstat.com/en/services/training/

/_Overview

_/The first presentations of the PLS (Partial Least Squares) approach to
path models with latent variables were published by Herman Wold in the
late Sixties, with further works on the algorithm published in the
following decade. Then, Wold's work was continued by J.-B. Lohmöller
(1989) who formalized the method from the mathematical point of view
before developing the LVPLS software where the PLS algorithm was
enriched by a few validation procedures. After Lohmöller's contribution,
the method was somehow forgotten, and it is only since a decade that it
has been rediscovered by Wynne W. Chin in the domain of the Management
of Information Systems and then by Michel Tenenhaus and Vincenzo
Esposito Vinzi in the domain of Statistics, and further developed thanks
to the efforts of several researchers from diverse disciplines at both
the methodological and the application level.

The PLS approach is a powerful data exploration tool, as soon as you are
in a case where you can define concepts that cannot be directly measured
(the latent variables) and are interconnected (one can draw a causal
path), but that can be related to measured variables (the manifest
variables). This method is often considered as the component-based
alternative to the classical covariance-based SEM methods (Structural
Equation Modeling), and a powerful substitute in the cases where
classical SEM cannot be used or shows practical and theoretical
limitations. But the PLS approach is also a very general and flexible
framework for the analysis of relationships between two or multiple
blocks of variables.

This 2-day course will deal with the methodological foundations of the
PLS approach while presenting and discussing several validation and
intepretation tools with a specific focus on applications (using the
XLSTAT-PLSPM software) in different domains.

The detailed agenda (with further information on registration and
contact details) is available at:
http://www.xlstat.com/en/services/training/

/_About the Instructors

_/*Wynne W. CHIN* is the C.T. Bauer Professor of MIS in the department
of Decision and Information Sciences in the C.T. Bauer College of
Business at the University of Houston. He received his A.B. in
Biophysics from U.C. Berkeley, MS in Biomedical/Chemical Engineering
from Northwestern University, and an MBA and Ph.D. in Computers and
Information Systems from the University of Michigan. Wynne has also
taught previously at the University of Calgary, Wayne State University,
and the University of Michigan and has been a visiting fellow at the
University of Canterbury, Queens University, City University of Hong
Kong, and the University of New South Wales.  Wynne's research includes
sales force automation, IT adoption, outsourcing, acceptance,
satisfaction, group cohesion and negotiation, and psychometric modeling
issues. Wynne is on the editorial board of Structural Equation Modeling
journal, Journal of AIS, Journal of Information Technology, IEEE
Transaction of Management, and previously co-editor of Data Base and on
the boards of Information Systems Research and MIS Quarterly. He is also
the developer of PLS-Graph, the first graphical based software dating
back to 1990 to perform Partial Least Squares analysis.

*Vincenzo ESPOSITO VINZI *is Professor of Statistics at ESSEC Business
School - Paris and Singapore. He received a Ph.D. in Computational
Statistics. Vincenzo is a Vice President of the International Society
for Business and Industrial Statistics  and the current scientific
secretary of the International Federation of Classification Societies
after being the Scientific Secretary of the European Board of Directors
of the International Association for Statistical Computing. His research
includes multivariate statistics, factorial methods, structural equation
modelling, PLS regression and path modelling, multiple table analysis,
with business and industry oriented applications. Vincenzo has delivered
invited lectures, taught tutorials and organised specialised sessions on
PLS and related methods to several international conferences and PhD
programs around the world. He has been chairing, with Michel Tenenhaus,
a series of International Conferences on PLS and related methods and has
co-edited several conference proceedings and special issues of
international journals on PLS methods. Vincenzo is an Associate Editor
of Computational Statistics and Data Analysis (Elsevier) and
Computational Statistics (Physica-Verlag). He is the managing editor of
the forthcoming "Handbook of Partial Least Squares: Concepts, Methods
and Applications" by Springer.

*Michel TENENHAUS* is Professor of Statistics at HEC School of
Management - Paris.  His main researches are concerned with multivariate
data analysis: optimal scaling methods for categorical variables, PLS
regression and PLS path modelling.  He has published many papers in
scientific journals and three books: Méthodes Statistiques en Gestion
(Dunod, 1994), La régression PLS : théorie et applications (Technip,
1998) and Statistique: Méthodes pour décrire, expliquer et prévoir
(Dunod, 2007). Michel Tenenhaus is also consultant for industrial
companies.  He has been chairman of PLS'99 at Jouy-en-Josas and
co-chairman of the following symposia PLS'01 at Anacapri, PLS'03 at
Lisbon, and PLS'05 at Barcelona.


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