Concentration residual augmented classical least squares (CRACLS): A multivariate calibration method with advantages over partial least squares

Applied Spectroscopy

Volumn 56, Issue 5, 2002, Pages 615-624

  Melgaard, David K ^a   Haaland, David M ^a   Wehlburg, Christine M ^a  

^a SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

ACLS; Augmented classical least squares; Classical least squares; CLS; Concentration residual augmented classical least squares; Multivariate calibration; Near infrared spectra; Partial least squares; PLS; Prediction augmented classical least squares

Indexed keywords

ALGORITHMS; CALIBRATION; COMPUTER SIMULATION; ETHANOL; GLUCOSE; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; SOLUTIONS; UREA;

CLASSICAL LEAST SQUARES; CONCENTRATION RESIDUAL AUGMENTED CLASSICAL LEAST SQUARES; MULTIVARIATE CALIBRATION; MULTIVARIATE SPECTRAL ANALYSIS; PARTIAL LEAST SQUARES; PREDICTION AUGMENTED CLASSICAL TEST SQUARES;

INFRARED SPECTROSCOPY;

EID: 0036575426     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/0003702021955178     Document Type: Article

References (26)

1. Multivariate calibration methods applied to quantitative FT-IR analyses
2. Methods to include Beer's Law nonlinearities in quantitative spectral analysis
3. Multivariate calibration by data compression