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Residual bilinearization. Part 2: Application to HPLC—diode array data and comparison with rank annihilation factor analysis
Author(s) -
Öhman Jerker,
Geladi Paul,
Wold Svante
Publication year - 1990
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180040205
Subject(s) - residual , partial least squares regression , rank (graph theory) , annihilation , mathematics , high performance liquid chromatography , chromatography , computer science , chemistry , statistics , physics , algorithm , combinatorics , particle physics
Abstract The partial least squares–residual bilinearization (PLS–RBL) approach to background correction presented in Part 1 of this work is demonstrated with an example from HPLC with diode array detection. Data are also evaluated with generalized rank annihilation factor analysis (GRAFA) and results are compared.