Journal article
The impact of missing measurements on PCA and PLS prediction and monitoring applications
Abstract
A significant issue in the practical application of PCA and PLS models for inferential sensors and process monitoring is the presence of sets of measurements (objects) that are incomplete. Since the missing measurements in the incomplete objects are usually correlated with some of the available measurements, an opportunity exists to use these objects if efficient algorithms and tools exist and if their performance and limitations are defined. …
Authors
Nelson PRC; MacGregor JF; Taylor PA
Journal
Chemometrics and Intelligent Laboratory Systems, Vol. 80, No. 1, pp. 1–12
Publisher
Elsevier
Publication Date
January 2006
DOI
10.1016/j.chemolab.2005.04.006
ISSN
0169-7439