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Rolf Ergon, Maths Halstensen and Kim H. Esbensen Model choice and squared prediction errors in PLS regression Journal of Chemometrics 25

Version of Record online: 16 APR 2011 | DOI: 10.1002/cem.1356

Fault detection by use of squared prediction errors (SPE) in X should be based on the identical residuals in the non-orthogonalized PLSR, Bidiag2 and RE-PLSR models, and not from the residuals in the conventional orthogonalized PLSR model. The reason is that faults cannot be expected to be governed by the same covariance structure as normal data.

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