Functional Linear Regression Analysis Based on Partial Least Squares and Its Application
Functional linear model with functional predictors and scalar response is a simple and popular model in the field of functional data analysis. The slope function is usually expanded on some basis functions, such as spline and functional principal componen
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Hervé Abdi Vincenzo Esposito Vinzi Giorgio Russolillo Gilbert Saporta Laura Trinchera Editors
The Multiple Facets of Partial Least Squares and Related Methods PLS, Paris, France, 2014
Springer Proceedings in Mathematics & Statistics Volume 173
More information about this series at http://www.springer.com/series/10533
Springer Proceedings in Mathematics & Statistics
This book series features volumes composed of select contributions from workshops and conferences in all areas of current research in mathematics and statistics, including OR and optimization. In addition to an overall evaluation of the interest, scientific quality, and timeliness of each proposal at the hands of the publisher, individual contributions are all refereed to the high quality standards of leading journals in the field. Thus, this series provides the research community with well-edited, authoritative reports on developments in the most exciting areas of mathematical and statistical research today.
Hervé Abdi • Vincenzo Esposito Vinzi Giorgio Russolillo • Gilbert Saporta Laura Trinchera Editors
The Multiple Facets of Partial Least Squares and Related Methods PLS, Paris, France, 2014
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Editors Hervé Abdi School of Behavioral and Brain Sciences The University of Texas at Dallas Richardson, TX, USA Giorgio Russolillo CNAM Paris, USA
Vincenzo Esposito Vinzi ESSEC Business School Cergy Pontoise CX, France Gilbert Saporta CNAM Paris Cedex 03, France
Laura Trinchera NEOMA Business School Rouen, France
ISSN 2194-1009 ISSN 2194-1017 (electronic) Springer Proceedings in Mathematics & Statistics ISBN 978-3-319-40641-1 ISBN 978-3-319-40643-5 (eBook) DOI 10.1007/978-3-319-40643-5 Library of Congress Control Number: 2016950729 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
In 1999,
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