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The application of multi-way parallel factor analysis (PARAFAC2) is described for the classification of different kinds of petroleum oils using GC–MS. Oils were subjected to controlled weathering for 2, 7 and 15 days and PARAFAC2 was applied to the three-way GC–MS data set (MS×GC×sample). The classification patterns visualized in scores plots and it was shown that fitting multi-way PARAFAC2 model...
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