Sökning: "variable importance in multiblock regression"

Hittade 1 avhandling innehållade orden variable importance in multiblock regression.

  1. 1. Novel variable influence on projection (VIP) methods in OPLS, O2PLS, and OnPLS models for single- and multi-block variable selection : VIPOPLS, VIPO2PLS, and MB-VIOP methods

    Författare :Beatriz Galindo-Prieto; Johan Trygg; Lennart Eriksson; Paul Geladi; Olav M. Kvalheim; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Variable influence on projection; VIP; MB-VIOP; orthogonal projections to latent structures; OPLS; O2PLS; OnPLS; variable selection; variable importance in multiblock regression; Computer Science; datalogi;

    Sammanfattning : Multivariate and multiblock data analysis involves useful methodologies for analyzing large data sets in chemistry, biology, psychology, economics, sensory science, and industrial processes; among these methodologies, partial least squares (PLS) and orthogonal projections to latent structures (OPLS®) have become popular. Due to the increasingly computerized instrumentation, a data set can consist of thousands of input variables which contain latent information valuable for research and industrial purposes. LÄS MER