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Latent variables in linear stochastic models : reflections on "Maximum likelhood" and "Partial least squares" methods

Dijkstra, Taeke Klaas - 1981

Persistent link: https://www.econbiz.de/10000007335

SME B2B e-commerce and customer loyality revisited

Lawson-Body, Assion; O'Keefe, Timothy P. - In: Web technologies for commerce and services online, (pp. 1-25). 2008

Persistent link: https://www.econbiz.de/10003634158

Tourism towns and entrepreneurial orientation : the identification and exploitation of oppurtunities

Casillas-Bueno, José C.; Castellanos Verdugo, Mario; … - In: Tourism and hospitality planning & development 5 (2008) 1, pp. 31-44

Persistent link: https://www.econbiz.de/10003739276

Wirkung und Erfolgsbeitrag der Selbstverpflichtung bei nationalen und internationalen Kooperationen junger KMU

Fink, Matthias; Harms, Rainer; Kraus, Sascha; Schulz, Anja - In: International Entrepreneurship, (pp. 107-132). 2009

Persistent link: https://www.econbiz.de/10003790393

Partial least squares : a versatile tool for the analysis of high-dimensional genomic data

Boulesteix, Anne-Laure (contributor); … - 2005

Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data. In this paper we review the theory and applications of PLS both under methodological and biological points of view. Focusing on microarray...