期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 50, 期 1, 页码 47-52出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0169-7439(99)00045-3
关键词
chemometrics; near infrared; spectroscopy; orthogonal signal correction; partial least squares
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. (C) 2000 Elsevier Science B.V. All rights reserved.
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