To construct a model formula to evaluate the thermogenetic effect of ginger (Zingiber officinale Roscoe) from the ingredient information, we established transient receptor potential vanilloid subtype 1 (TRPV1)-stimulating activity prediction models by using a partial least -squares projections to latent structures (PLS) regression analysis in which the ingredient data from liquid chromatography high-resolution mass spectrometry (LC-HRMS) arid the stimulating activity -values for TRPV1 receptor were used as explanatory and objective variables, respectively. By optimizing the peak extraction condition of the LC-diRMS data and the data preprocessing parameters of the PLS regression analysis, we succeeded in the construction of a TRPV1 stimulating activity prediction model with high precision ability. We then searched for the components responsible for the TRPV1stimulating activity by analyzing the loading plot and s -plot of the model, and we identified [6]-gingerol (1) and hexahydrocurcumin (3) as TRPV1-stimulating activity components.