In this study, we made a software that designed to be able to project and classify unknown edible oil mass spectra on 3D PCA / PLS-DA model by importing mass analysis data of unknown edible oil by using different amount and composition if lipids such diacylglycerols (DAGs) and triacylglycerols (TAGs) according to kinds of edible oil. For the statistical analysis model, 9 kinds of edible oil were used, such as sesame, perilla, olive, canola, grape-seed, sunflower-seed, corn, soybean, coconut oils, and the equipment was Tinkerbell MALDI-TOF (Asta, Korea). In addition to the existing statistical analysis models, we have built models directly based on user data and made the models available for classification or screening of samples.