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shares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded as projection to latent structures. This is an approach for modeling relations between data matrices of different types of variables measured on the same set of objects. The twenty-two papers in this volume, which include three invited contributions from our keynote speakers, provide a comprehensive overview of the current state of the most advanced research related to PLS and related methods. Prominent scientists from around the world took part in PLS 2012 and their contributions covered the multiple dimensions of the partial least squares-based methods. These exciting theoretical developments ranged from partial least squares regression and correlation, component based path modeling to regularized regression and subspace visualization. In following the tradition of the six previous PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selection, sparse PLS regression, distance based PLS, significance vs. reliability, and non-linear PLS. Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, information systems, epidemiology, and chemical spectroscopy. Such a broad and comprehensive volume will also encourage new uses of PLS models in work by researchers and students in many fields.
Table of contents :
Content:
Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
PLS-Based Multivariate Metamodeling of Dynamic Systems....Pages 3-30
You Write, but Others Read: Common Methodological Misunderstandings in PLS and Related Methods....Pages 31-64
Correlated Component Regression: Re-thinking Regression in the Presence of Near Collinearity....Pages 65-78
Front Matter....Pages 79-79
Integrating Partial Least Squares Correlation and Correspondence Analysis for Nominal Data....Pages 81-94
Clustered Variable Selection by Regularized Elimination in PLS....Pages 95-105
PLS Regression and Hybrid Methods in Genomics Association Studies....Pages 107-116
Globally Sparse PLS Regression....Pages 117-127
Front Matter....Pages 129-129
Distance-Based Partial Least Squares Analysis....Pages 131-145
Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics Studies....Pages 147-158
Revisiting PLS Resampling: Comparing Significance Versus Reliability Across Range of Simulations....Pages 159-170
The Stability of Behavioral PLS Results in Ill-Posed Neuroimaging Problems....Pages 171-183
Front Matter....Pages 185-185
Two-Step PLS Path Modeling Mode B: Nonlinear and Interaction Effects Between Formative Constructs....Pages 187-199
A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study....Pages 201-208
Multiblock and Path Modeling with OnPLS....Pages 209-220
Testing the Differential Impact of Structural Paths in PLS Analysis: A Bootstrapping Approach....Pages 221-229
Controlling for Common Method Variance in PLS Analysis: The Measured Latent Marker Variable Approach....Pages 231-239
Front Matter....Pages 241-241
Multi-group PLS Regression: Application to Epidemiology....Pages 243-255
Employees’ Response to Corporate Social Responsibility: An Application of a Non Linear Mixture REBUS Approach....Pages 257-268
Extending the PATHMOX Approach to Detect Which Constructs Differentiate Segments....Pages 269-280
Front Matter....Pages 281-281
Integrating Organizational Capabilities to Increase Customer Value: A Triple Interaction Effect....Pages 283-293
Front Matter....Pages 281-281
Satisfaction with ERP Systems in Supply Chain Operations....Pages 295-313
An Investigation of the Impact Publicly Available Accounting Data, Other Publicly Available Information and Management Guidance on Analysts’ Forecasts....Pages 315-339
Back Matter....Pages 341-344
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