This study deals with the application of several multivariate statistical methods (cluster analysis, principal components analysis, multiple regression on absolute principal components scores) for assessment of soil pollution by heavy metals. The sampling was performed in a heavily polluted region and the chemometric analysis revealed four latent factors, which describe 84.5 % of the total variance of the system, responsible for the data structure. These factors, whose identity was proved also by cluster analysis, were conditionally named “ore specific”, “metal industrial”, “cement industrial”, and “steel production” factors. Further, the contribution of each identified factor to the total pollution of the soil by each metal pollutant in consideration was determined.
 W. Salomons, U. Förstner and P. Mader: Heavy Metals: problems and solutions, Springer, Berlin, Heidelberg, New York, 1995.
 H. Häni: “Heavy Metal Contamination in Polluted Soils”, Communication of Soil Science and Plant Analysis, Vol., 27, (1996), pp. 289–297.
 D. Petruzzelli: “Migration and Fate of Pollutants in Soils and Subsoils”, In: Proceedings of the NATO Advanced Study Institute on Migration and Fate of Pollutants in Soils and Subsoils held at Maratea, Italy, May 24 to June 5, 1992, Springer, Berlin, Heidelberg, New York, 1993.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.