The determination of the gasoline components, and the contribution of these in the quality and final performance, had in the past a great number of studies that can create routines for the monitoramento of this fuel. The objective of this work is to identify and to quantify the main groups of composites that compose the distributed commercial gasoline in part of the Southeastern region, through multivaried analysis of data of FT-Raman spectroscopy, through regression for Squared Minimums Partial (PLS - Partial Least Squares) using for the analysis of the main components (PCA), 120 random samples of the fuel laboratory of PUC-Rio in the period of January the June of 2004, which is part of the program of fuel control. All the samples had been submitted to the analysis for gaseous chromatography (GC) and FT-Raman spectroscopy in the same day. The FTRaman spectra had been all collected, and had been determined the concentration of the main component groups of the composition of the commercial gasolinas for method PONA/PEONA for paraffin(P), olefin(O), naphthene(N), aromatic(A) and ethanol(E). The experimental data had been treated by PLS/PCA in order to get a correlation of each specific region of the FT-Raman spectra with the results giving for GC through methods PONA/PEONA.