Analysis of two partial-least-squares algorithms for multivariate calibration

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Summary

Two algorithms for multivariate calibration are analysed in terms of standard linear regression theory and the matrix inversion problem of linear regression is shown to be solved by transformations to a bidiagonal form in PLS1 and to a triangular form inPLS2.

Type
article
Published
1987-08-01
Cited by
340
References
19

Keywords

Partial least squares regression, Mathematics, Multivariate statistics, Chemometrics, Calibration

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