In the present survey, new quantitative structure-property relationships (QSPR) have been proposed to estimate critical properties of pure refrigerants. For developing these models, the experimental data of T-C for 198 pure compounds, the experimental data of V-C for 194 pure compounds, and the experimental data of Pc for 197 pure compounds were applied. For each compound, 1650 molecular descriptors were determined. Enhanced replacement method (ERM), as an effectual tool for subset variable selection, was utilized. The proposed models are simple multivariate linear equations with six variables for estimation of To five variables for estimation of V-C, and six variables for estimation of P-C. The variables of models are computed from the molecular structure of refrigerants. The average absolute relative deviation (AARD, %) of the proposed models over all experimental data are 2.65%, 3.76%, and 4.65% for estimation of T-C, V-C and P-C, respectively. (C) 2015 Elsevier B.V. All rights reserved.