Partial least-squares regression: a tutorial
Analytica Chimica ActaPublished 1 January 1986
Paul Geladi, Bruce R. Kowalski
Citations6,934
SJR quartileQ1
SJR score1.00
SNIP1.12
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Abstract
A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.
Keywords
ChemistryMathematicsEngineering
TechnometricsApplied Regression Analysis
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