19.
Teófilo R. F.,  Martins J. P. A., Ferreira M. M. C., "Computational performance of PLS algorithms: a comparison". Matforsk, Ås, Norway, 05-07/09/2007: 5th International symposium on PLS and related methods (PLS´07): Causalities explored by indirect observation, Programme and Abstracts (2007) 128-131. Poster.



Here below ais a simplified version of the conference home page which can be found at: http://www.pls07.org/





Organising Committee and Scientific Committee

Local Scientific committee:
Harald Martens, Chairman, Matforsk, Cigene and Norwegian University of Life Sciences
Tormod Næs, Matforsk
Magni Martens, Matforsk
Inge Helland, University of Oslo
Elin Kubberød, Matforsk
Martin Høy, Matforsk
Ingunn Berget, Cigene and Matforsk
Stig Omholt, Cigene and Norwegian University of Life Sciences
Solve Sæbø, Norwegian University of Life Sciences
Ulf Indahl, Norwegian University of Life Sciences

International Scientific Committee:
Vincenzo Esposito Vinzi, Italy
Carlo Lauro, Italy
Michel Tenenhaus, France
Svante Wold, Sweden
Lars Munck, Denmark
Tomas Aluja-Banet, Spain
Alain Morineau, France
Huiwen Wang, China
Wynne Chin, USA

Organising Committee:
Tormod Næs, Chairman, Matforsk
Harald Martens, Matforsk, Cigene and Norwegian University of Life Sciences
Solveig Le Divenah, Conference secretary, Matforsk
Martin Høy, Matforsk
Ingunn Berget, Cigene and Matforsk
Solve Sæbø, Norwegian University of Life Sciences
Kjell Merok, Matforsk



Final Programme

September 4th

17:00 - 20:00 Registration and get together at Matforsk
                    Poster presenters are asked to bring their posters.
September 5th

07:45  Bus from hotel to Matforsk
08:15 - 08:45 Registration
08:45 – 09:00 Harald Martens and Tormod Næs. Opening Ceremony

Session A:
Integrating different PLS cultures

09:00 – 09:30 Vincenzo Esposito Vinzi - The PLS approach to data exploration and modeling: an everlasting matter of dispute or a playground for integrating different cultures?
09:30 – 09:55 Lars Munck, Lars Nørgaard, Birthe Møller - Mathematical models and data visualisation programs adapted to explore causality in the finely tuned reproducible spectra from biological networks.
09:55 – 10:20 Solve Sæbø, Achim Kohler, Tormod Næs, Harald Martens - A tool-box of methods for multi-matrix modelling.

10:20 – 10:35 Coffee break

10:35 – 11:05 Fred L. Bookstein - PLS for interdisciplinary biometrics:
representations and reinterpretations of the singular-value theorem
11:05 – 11:30 Inge S. Helland - PLS from model reduction under symmetry.
11:30 – 11:55 Kim H. Esbensen, Marinda Swanepoel - PLS-discrimination reveals systematic sampling deficiences re. representative sampling at the winery weighbridge.
11:55 – 12:30 Discussion

12:30 – 14:00 Lunch / Poster Session

Session B:
Applications in social sciences: sensometrics, consumer science, econometrics
Chairman Magni Martens

14:00 – 14:30 Michel Tenenhaus - A bridge between PLS path modeling and ULS-SEM.
14:30 – 14:55 Gastón Sánchez, Tomás Aluja - A simulation study of PATHMOX (PLS path modeling
segmentation tree) sensitivity.
14:55 – 15:20 Valérie Lengard, Ingrid Måge, Martin Kermit - L-PLS regression for consumer preference analysis.
15:20 – 15:45 Open talk

15:45 – 16:00 Coffee break

16:00 – 16:25 Alba Martínez Ruiz, Tomás Aluja Banet - Partial least squares path modeling in patent value analysis: a proposal.
16:25 – 16:50 Benedetto Torrisi, Giorgio Skonieczny, Sebastiano Piccolo - PLS to evaluate the effects of the technological innovation on the European regional wealth.
16:50 – 17:15 Antonio Jesús Caballero Domínguez, Gregoria Mateos-Aparicio Morales - PLS-Path modelling in the Spanish national health system.
17:15 – 17:40 Pedro Simões Coelho, Maria H. Almeida, Manuel J. Vilares - Sample Size Effect on the Comparison of Likelihood and Pls Estimators for Structural Equation Modeling: A Simulation With Customer Satisfaction Data.
17:40 – 18:15 Discussion

18:30 – 21:00 Poster session / Buffet supper

21:15 Bus from Matforsk to the hotel
 

September 6th

08:30 Bus from hotel to Matforsk

Session C:
Causality in latent variables
Chairman Vincenzo Esposito Vinzi

09:00 – 09:30 Odd Aalen – Statistics, causality and dynamic path modelling, with applications to medicine.
09:30 – 09:55 Christian Derquenne - Free model for generalized path modelling.
09:55 – 10:20 Charlotte M. Andersen, Mikael A. Petersen, Rasmus Bro - Causal models of oxidation.
10:20 – 10:50 Carsten Stig Poulsen – Causality in marketing: Use and misuse.

10:45 – 11:00 Coffee break

11:00 – 11:30 Stig Omholt - The causality concept in a dappled world.
11:30 – 11:55 Christian M. Ringle, Bradley Wilson, William Callaghan, Jörg Henseler - Exploring causal path directionality for a marketing model using Cohen’s path methods.
11:55 – 12:30 Discussion

12:30 – 13:30 Lunch

Session D:
Applications in natural science: chemometrics / functional genomics
Chairman Fred Bookstein

13:30 – 14:00 Anne-Laure Boulesteix, Christine Porzelius, Martin Daumer - Microarray-based prediction with emphasis on clinical parameters: A PLS approach.
14:00 – 14:25 Lars Nørgaard, Florent Baty, Martin Schumacher, Rasmus Bro - Extended canonical variates analysis compared to selected multivariate classification methods on two different types of data structures – spectroscopic and microarray data.
14:25 – 14:50 Ellen Mosleth Færgestad, Kristian Hovde Liland, Harald Martens, Rasmus Bro, Frans van den Berg, - The use of n-way data compression approaches for
exploring causality in functional genomics.
14:50 – 15:15 Tomas Öberg, Tao Liu - Global and local PLS regression models to predict vapor pressur.
15:15 – 15:35 Discussion

15:35 – 15:50 Coffee break

Session E:
Multiblock, multi-way and path models
Chairman Anne-Laure Boulesteix

15:50 – 16:20 Age Smilde, Daniel Vis - Causality and Emergence in Biological Systems.
16:20 – 16:45 Christian M. Ringle, Rainer Schlittgen, - A genetic algorithm segmentation approach for uncovering and separating groups of data in PLS path modeling.
16:45 – 17:10 Laura Trinchera, Silvia Squillacciotti, Vincenzo Esposito Vinzi, Michel Tenenhaus - PLS path modeling in presence of a group structure: REBUS- PLS, a new esponse-based approach.
17:10 – 17:25 Discussion
17:30 Bus from Matforsk to hotel

19:00 Bus from hotel to Gamle Logen, Oslo
19:30 Conference dinner at Gamle Logen, Oslo
24:00 Bus from Gamle Logen, Oslo, to hotel
 

September 7th

08:30 Bus from hotel to Matforsk

Session F:
New developments in PLS methodology
Chairman Inge Helland

09:00 – 09:30 Harald Martens, Svante Wold - PLS tools for exploring causalities.
09:30 – 09:55 Jörg Henseler - On the convergence of partial least squares path modeling.
09:55 – 10:20 Aurea Grané, Josep Fortiana - A functional PLS algorithm, with application to goodness-of-fit tests.
10:20 – 10:45 Bjørn-Helge Mevik, Kjetil Jørgensen, Ingrid Måge, Tormod Næs - LS-PLS: A regression method combining design and spectral data as predictors.

10:45 – 11:00 Coffee break

11:00 – 11:25 Mohamed Hanafi, Achim Kohler - Equivalence of hierarchical principal component analysis and common components and specific weights analysis and their relations to INDSCAL model.
11:25 – 11:45 Ulf Indahl, Kristian H. Liland - Powered partial least squares discriminant analysis.
11:45 – 12:10 Huiwen Wang, Jie Meng - Nonlinear structure analysis with partial least squares regression based on spline transformation.
12:10 - 12:40 Discussion and summary of the symposium
12:40 - 12:50 Invitation to next PLS symposium in China (PLS´09).

12:50 – 14:00 Lunch

14:00 Bus from Matforsk to Gardermoen Airport, Oslo



Posters

Raquel Cervigón, Javier Moreno, José Manuel Blas, César Sanchez, José Millet: Comparison of principal components analysis and partial least squares regression through anaesthetic effects on atrial fibrillation

Reinaldo Francisco Teófilo, João Paulo Ataide Martins, Márcia Miguel Castro Ferreira: Computational performance of PLS algorithms: a comparison

Jörg Henseler, Bradley Wilson, Theo Dijkstra: Testing nonlinear effects in PLS path models: a simulation-based comparison of available approaches

Jörg Henseler: A new and simple approach to multi-group analysis in partial least squares path modeling

Lars Gidskehaug, A. Kohler, K. Jørgensen, N.K. Afseth, Å. Randby, S. Lien, H.G. Olsen, H. Martens: Biospectroscopy and partial least squares regression as a sensitive tool for optimisation of milk quality

H. Martens, S.R. Veflingstad, E. Plahte, D. Bertrand, M. Martens, S.W. Omholt: Multivariate exploration of a high-dimensional model in systems biology: The Delta/Notch non-linear dynamic model for cell differentiation

Harald Martens, Martin Høy: PLS without LS

Magni Martens, Michel Tenenhaus, Vincenzo Esposito Vinzi, Harald Martens: Three PLS cultures, one PLS principle

Rika Nishikiori, Kousuke Okamoto, Akiko Matsuura, Yukino Ochi, Shotaro Morimoto, Tadashi Saito, Norihito Kawashita, Teruo Yasunaga, Masaya Kawase, Tatsuya Takagi: The improvement of the nonparametric regression method based on the PLS algorithm

Ulf Indahl, Tormod Næs: Canonical partial least squares analysis - a unified PLS approach to classification and regression problems

Christian M. Ringle, Bradley Wilson, Oliver Götz: A Monte Carlo robustness study on formative measurement model specification in CBSEM and PLS

Emmanuel Jakobowicz, Gilbert Saporta: A nonlinear PLS path modeling based on monotonic B-spline transformations

Kristian Hovde Liland, Ellen Mosleth Færgestad, Harald Martens, Frans van der Berg, Rasmus Bro: The use of n-way analysis for testing effects of design parameters - a useful strategy in searching for causality

Achim Kohler, Mohamed Hanafi: Deflations on multiblock consensus PCA and multiblock PLSR

R. Diez, M.C. Ortiz, L. Sarabia, I. Birlouez-Aragon: Front face fluorescence spectroscopy together with partial least squares calibration: a suitable tool for the assessment of the impact of the thermical treatment of a whey-based model for infant milk formulas.

Christian M. Ringle, Silvia Squillacciotti, Laura Trinchera: A study on methods for capturing and treating heterogeneity in PLS path models by unit segmentation: FIMIX-PLS, PLS-TPM and REBUS-PLS

Jie Wang, Huiwen Wang, Gilbert Saporta: Discussion on importance of variable selection in PLS1 modeling



News

August : Svante Wold is unfortunately not able to come to the PLS´07 symposium, Harald Martens will take his place in the programme: see "Programme"
July: Pre conference course: see "Information".
July: Travel information: see "Information".
April: Please note that the PLS07 symposium has be relocated to Matforsk, Ås, appr. 30 km. from Oslo.



Background information

When studying complex real-world systems, ranging from functional genomics to market research, it is important to generate enough data to catch what the real world can tell us. The essential properties that control a system are often difficult to observe directly; to find them requires that we measure many variables.

It is equally important to have data modelling methods that convert the multivariate data tables into interpretable and statistically valid results, in light of our prior theory.

In a wide range of scientific disciplines the principle of Partial Least Squares (PLS) is used for studying underlying relationships in sets of related data tables. Two main PLS cultures are evident today: In economics Herman Wold’s original PLS method (multi-block PLS path modelling) is used to study causal relationships between consumer preferences and various psychosocial descriptors based on extensive use of prior knowledge. In chemometrics the two-block PLS Regression is used for generating interpretable and stable predictors with minimum use of prior knowledge. Within each culture, a number of different extensions of the PLS based methods have been developed recently.

Previous PLS meetings have been held in:
Paris, France (1999)
Capri, Italy (2001)
Lisboa, Portugal (2003)
Barcelona, Spain (2005)

Next meeting is planned to be held in:
Beijing, China, (2009)



Practical information

Mail address: pls07@matforsk.no
Website: www.pls07.org