MKPLS approach: switching strategies for the non-linear multi-kernel PLSR

DOI10.1007/s00180-007-0040-5zbMath1196.62094OpenAlexW2044177182MaRDI QIDQ964611

Rafael Rigão Souza, Paúl Rentería, Ruy Luiz Milidiú

Publication date: 22 April 2010

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0040-5

zbMATH Keywords

smoothingpartial least squareslocally linear regressionPRESS

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) General nonlinear regression (62J02) Applications of statistics (62P99)

Uses Software

• StatLib Datasets Archive

Cites Work

• Unnamed Item
• PCA and PLS with very large data sets
• DPLS and PPLS: two PLS algorithms for large data sets
• 10.1162/15324430260185556

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