The primary aim of the study is to assess gasoline quality in Mizoram and compare it with samples from neighboring states (Assam) and laboratory kerosene-blended samples. A total of 174 samples were collected, including those from Mizoram and Assam, and laboratory-blended paraffin samples were categorized according to their quality characteristics. Principal Component Analysis (PCA) was used to analyses the data and identify patterns or trends among the samples. However, it seems that PCA alone may not be sufficient for precise classification. The Partial Least SquaresDiscriminant Analysis (PLS-DA) was also employed as a method for classification. PLS-DA is a supervised method that may offer more accurate classification results compared to PCA. The study highlights the importance of ensuring gasoline quality in Mizoram, especially in the face of adulteration practices. The use of advanced analytical techniques like PLS-DA enhances the ability to detect and classify adulterated samples accurately. This research could potentially inform regulatory measures to combat fuel adulteration and ensure consumer safety and satisfaction.