Overview and Recent Advances in Partial Least Squares

Partial Least Squares (PLS) is a wide class of methods for modeling relations between sets of observed variables by means of latent variables. It comprises of regression and classification tasks as well as dimension reduction techniques and modeling tools. The underlying assumption of all PLS method...

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Bibliographische Detailangaben
Hauptverfasser:	Rosipal, Roman, Krämer, Nicole
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Canonical Correlation Analysis Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Mathematics Mean Square Error Memory organisation. Data processing Partial Little Square Partial Little Square Regression Principal Component Regression Probability and statistics Sciences and techniques of general use Software Statistics
Online-Zugang:	Volltext
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