Modified jackknife test was applied to examine the robustness of a topology-polarity correction model for estimating the sorption coefficient(K_oc) of organic compounds. The test was performed by four methods:1) random deletion of a single chemical from the data set (100 times);2) deletion of a chemical with abnormal value (difference between predicted and measured values is larger than 0.9 log-units,27 outliers);3) deletion of 50 chemicals randomly selected from the data set (30 times);and 4) deletion of a set of chemicals belonging to the same class (17 classes).The results indicated that similar trends were observed with various jackknife tests.The coefficient of determination (R²) of the multivariate regression model showed relatively high robustness compared to other regression coefficients. The sixth-order chain molecular connectivity index (⁶X_ch) was the least robust parameter in the model.Among the 17 polarity factors, the robustness of SO₂, O, F, NH₂ and SO were lower than the others.