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Principal Component Analysis, Discriminant Rotation and Canonical Correlation Analysis are included in the in-house developed software PONTOS (with the cooperation of Prof. H.L.C. Meuzelaar, CMARC, University of Utah, USA) and have been used in different applications. PONTOS software for multivariate data analysis of analytical (and specifically spectroscopic data) is available free of charge [Click here for online demonstration of PONTOS]. Please email at  This e-mail address is being protected from spambots. You need JavaScript enabled to view it for a free copy.

PCA-ContVardia: A special diagram for voluminous data visualization through PCA




  • M. Statheropoulos, K. Mikedi, A. Agapiou, A. Georgiadou. S. Karma, Discriminant Analysis of Volatile Organic Compounds data related to a new location method of entrapped people in collapsed buildings of an earthquake, Analytica Chimica Acta, 2006) 556, 207-216. View at publisher
  • A. Pappa, K. Mikedi, N. Tzamtzis, M. Statheropoulos, Chemometric methods for studying the effects of chemicals on cellulose pyrolysis by thermogravimetry-mass spectrometry, Journal of Analytical and Applied Pyrolysis, 2003, 67 221-235 View at publisher
  • M. Statheropoulos, K. Mikedi, N. Tzamtzis, A. Pappa, Application of factor analysis for resolving thermogravimetric- mass spectrometric analysis spectra, Analytica Chimica Acta, 2002, 461, 215-227 View at publisher
  • M. Statheropoulos, K. Mikedi, PCA-ContVardia: an improvement of the PCA-Vardia technique for curve resolution in GC-MS and TG-MS analysis, Analytica Chimica Acta, 2001, 446, 353-370. View at publisher
  • M. Statheropoulos, A. Pappa, P. Karamertzanis, H.L.C. Meuzelaar, Noise reduction of fast, repetitive GC/MS measurements using principal component analysis (PCA), Analytica Chimica Acta, 1999, 401, 35-43 View at publisher
  • M. Statheropoulos, N. Tzamtzis, K. Mikedi, Short column gas chromatography-mass spectrometry and principal component analysis for the identification of coeluted substances in doping control analysis, J. Chromatography. B, 1998, 706, 245-251 View at publisher
  • M. Statheropoulos, N. Vassiliadis and A. Pappa, Principal Component and Canonical Correlation Analysis for examining air pollution and meteorological data, Atmospheric Environment, 1998, 32, 1087-1095 View at publisher
  • M. Statheropoulos, E. Smaragdis, N. Tzamtzis, C. Georgakopoulos, Principal component analysis for resolving coeluting substances in gas chromatography-mass spectrometry doping control analysis, Analytica Chimica Acta, 1996, 331, 53-61 View at publisher
  • M. Statheropoulos, H.L.C. Meuzelaar, N. Vassiliadis, Multivariate Data Analysis Techniques for Spectroscopic Data: The PONTOS case, Center of Microanalysis and Reaction Chemistry, University of Utah, 1993
  • H.L.C. Meuzelaar, M. Statheropoulos, H. Huai, Y. Yun, "Canonical Correlation Analysis of multisource fossil fuel data" in Computer Enhanced Analytical Spectroscopy, Vol. 3 edited by P.Jurs, Plenum Press, N. York, 1992 185-214