RECURSIVE ALGORITHM FOR PARTIAL LEAST-SQUARES REGRESSION

被引：136

作者：

HELLAND, K

BERNTSEN, HE

BORGEN, OS

MARTENS, H

机构：

[1] SINTEF AUTOMAT CONTROL,N-7034 TRONDHEIM,NORWAY

[2] NORWEGIAN INST TECHNOL,PHYS CHEM LAB,N-7034 TRONDHEIM,NORWAY

[3] CONSENSUS ANAL AS,N-1400 SKI,NORWAY

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1992年 / 14卷 / 1-3期

关键词：

D O I：

10.1016/0169-7439(92)80098-O

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper an algorithm is presented for updating partial least squares (PLS) regression models with new calibration objects. The new data are included in the model by recursive updating of the loading vectors. This is done by representing old data by modifications of their loading matrices, while new data are represented by their x and y vectors. The algorithm keeps the sizes of the matrices that go into the PLS algorithm constant, instead of using ever growing X and Y matrices. The algorithm will be of use in any situation where new data are to be included in the calibration model after the initial calibration. Simulations have been run where the recursive algorithm is compared with traditional PLS.

引用

页码：129 / 137

页数：9

共 6 条

[1] PARTIAL LEAST-SQUARES METHODS FOR SPECTRAL ANALYSES .1. RELATION TO OTHER QUANTITATIVE CALIBRATION METHODS AND THE EXTRACTION OF QUALITATIVE INFORMATION [J].