Jm. Andrade et al., MULTIVARIATE SELECTION OF VARIABLES IN INDUSTRIAL QUALITY-CONTROL - OPTIMIZING AVIATION FUEL FINAL CONTROL, Journal of chemometrics, 7(5), 1993, pp. 427-438
This paper deals with a typical question encountered in all industrial
analytical laboratories: are all the tests performed in the laborator
y to characterize the final product really necessary? In this work the
cross-validation technique, Procrustes rotation techniques and statis
tical variable selection have been used to reduce the 26 initial Briti
sh Petroleum and ASTM kerosene specification tests to ten 'essential'
ones. Statistical as well as chemical considerations were used to sele
ct the optimum subset of original variables to be retained from all th
e possible ones.