Implementing PLS for distance-based regression: computational issues

DOI10.1007/s00180-007-0035-2zbMath1196.62090OpenAlexW2065909067MaRDI QIDQ964602

Eva Boj, M. Mercé Claramunt, Josep Fortiana, Aurea Grané

Publication date: 22 April 2010

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

Full work available at URL: https://doi.org/10.1007/s00180-007-0035-2

zbMATH Keywords

partial least squaresmultidimensional scalingmoderately large sample

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Multivariate analysis (62H99) Applications of statistics to actuarial sciences and financial mathematics (62P05) Linear inference, regression (62J99)

Related Items

Distance-based beta regression for prediction of mutual funds ⋮ Global and local distance-based generalized linear models ⋮ Distance-based approach in univariate longitudinal data analysis ⋮ Functional \(k\)-sample problem when data are density functions

Cites Work

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• Adding a point to vector diagrams in multivariate analysis