Higher-order gap derivatives are sometimes avoided as a preprocessing method for multivariate calibration despite their numerous advantages. One reason they are avoided is the difficulty in interpreting the complex processed spectra and the regression vectors that arise from common calibration procedures like principal components regression or partial least squares regression. In addition to retrieving zero-order spectral information via numerical integration, the method presented in this report is also extended to the integration of the accompanying regression vectors to aid in the interpretation of multivariate calibration models. 11 references (Publisher abstract modified)
Downloads
Similar Publications
- The Cross-Reactivity of the Cannabinoid Analogs (delta-8-THC, delta-10-THC and CBD) and their metabolites in Urine of Six Commercially Available Homogeneous Immunoassays, Grant Report
- Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science
- Dealing With the Dangerous Offenders, Volume 2 - Selected Papers