The following references cover the methods implemented in ProSensus MultiVariate:
- P. Nomikos and J.F. MacGregor (1994), "Monitoring of batch processes using multiway principal component analysis", AIChE Journal, 40(8), 1361-1375.
- P. Nomikos and J.F. MacGregor (1995), "Multiway partial least squares in monitoring batch processes", Chemometrics and Intelligent Laboratory Systems, 30, 97-108.
- T. Kourti, P. Nomikos and J.F. MacGregor (1995), "Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS", Journal of Process Control, 5, 277-284.
- P.R.C. Nelson, P.A. Taylor, and J.F. MacGregor (1996), "Missing data methods in PCA and PLS: Score calculations with incomplete observations", Chemometrics and Intelligent Laboratory Systems, 35, 45-65.
- J. A. Westerhuis, T. Kourti and J.F. MacGregor (1998), "Analysis of multiblock and hierarchical PCA and PLS models", Journal of Chemometrics, 12(5), 301-321.
- F. Arteaga and A. Ferrer (2002), "Dealing with missing data in MSPC: several methods, different interpretations, some examples", Journal of Chemometrics, 16, 408-418
- T. Kourti (2003), "Multivariate dynamic data modelling for analysis and statistical process control of batch processes, start-ups and grade transitions", Journal of Chemometrics, 17(1), 93-109.
- S. Garcia-Munoz, T. Kourti, J. F. MacGregor, A.G. Mateos and G. Murphy (2003), "Troubleshooting of an industrial batch process using multivariate methods", Industrial and Engineering Chemistry Research, 42(15), 3592-3601.
These papers are available electronically - please contact us to obtain a copy.
