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On orthogonal signal correction

2000; Elsevier BV; Volume: 50; Issue: 1 Linguagem: Inglês

10.1016/s0169-7439(99)00045-3

1873-3239

Tom Fearn,

Water Quality Monitoring and Analysis

A new algorithm for orthogonal signal correction is presented, compared with existing algorithms, and illustrated on an example from near infrared spectroscopy. Given a matrix X of spectral or other high dimensional data and a vector or matrix Y of concentrations or other reference measurements on the same samples, orthogonal signal correction subtracts from X factors that account for as much as possible of the variance in X and are orthogonal to Y. The aim is to improve the performance of a subsequent partial least squares (PLS) regression of Y on X.