The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
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Publication:3334807
DOI10.1137/0905052zbMath0545.62044OpenAlexW2166446427WikidataQ56454402 ScholiaQ56454402MaRDI QIDQ3334807
Axel Ruhe, Herman Wold, W. J. Dunn III, Svante Wold
Publication date: 1984
Published in: SIAM Journal on Scientific and Statistical Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/0905052
chemometricspartial least squaresconjugate gradient methodridge regressioncross validationmultiple regressionchemical structurebiological activityprincipal components regressioncollinearitiesJackknife estimates of the standard errorssubstituted phenethylamines
Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Probabilistic methods, stochastic differential equations (65C99)
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