PLS, Linear Models and Invariant Spaces
Scandinavian Journal of StatisticsPublished 1 January 1994
Dietrich von Rosen
Citations15
SJR quartileQ1
SJR score0.87
SNIP1.00
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Abstract
Partial least squares (PLS) is considered from the perspective of the Gauss- Markov model. Linear spaces play a fundamental role and, in particular, invariant subspaces serve to illuminate the PLS method. Some connections between PCR and PLS are also given.
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