Abstract
Principal components analysis (PCA) was used for the investigation of an air pollutants data base. The data set consists of nearly 400 measurements of 26 gaseous organic compounds and meteorological data. The measurements were carried out at four different places in The Netherlands. PCA is a simple way to display visually most of the total variation in a few dimensions. It is helpful in the identification of outliers, the recognition of sources and the investigation of meteorological effects.
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