Comparison of Prediction Methods When Only a Few Components are Relevant
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Publication:4305730
DOI10.2307/2290861zbMath0799.62080OpenAlexW4253069484MaRDI QIDQ4305730
Publication date: 27 September 1994
Full work available at URL: https://doi.org/10.2307/2290861
predictionprincipal component regressionprediction abilitymultiple regression modelpartial least squares regressionrelevant componentsexpected prediction errorirrelevant eigenvaluesmaximum likelihood-type method
Factor analysis and principal components; correspondence analysis (62H25) Linear inference, regression (62J99)
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