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The application of Principal Component Analysis (PCA) in biochemical studies lies in the field of Chemometrics, the discipline which describes and applies statistical multivariate methods to the laboratory studies. PCA like Cluster Analysis (CA), belongs to the so called unsupervised pattern recognition methods, multivariate methods which can be applied to any data set without requiring or supposing any preliminary knowledge about the information present in the data (Massart & Kauffman, 1983; Brereton, 2003).

Applications of PCA to the Monitoring of Hydrocarbon Content in Marine Sediments by Means of Gas Chromatographic Measurements