Direct measurement of soil physical and hydraulic properties are time consuming and expensive. Prediction of the soil physical and hydraulic properties is possible using pedo-trasnfer functions. The objectives of this study was to provide regression pedo-transfer functions using easily measurable soil properties i.e. bulk density, pH, electrical conductivity to predict mean weight diameter of soil aggregates, saturated hydraulic conductivity, soil water repellency, field capacity and permanent wilting point. For this purpose, 71 soil samples were taken randomly from three areas; Shahin Shahr, Lavark Farm of Isfahan University of Technology and Lenjan, Isfahan Province. Statistical software was used in step-by-step method to determine regression functions. Adjusted correction coefficients and average error squared in the estimation of saturated hydraulic conductivity in regression models for educational data were 0.89 and 0.003, corrected explanatory coefficients and mean square error in estimating the weighted average diameter of aggregates in The regression equations for educational data were equal to 0.79 and 0.003, corrected correction coefficients and mean square error in the estimation of moisture content equivalent to agricultural capacity in regression equations for educational data were respectively 0.80 and 0.0006, respectively, the values of the correction coefficient and the mean square error in the estimation of moisture equivalent to the wilting point in the regression equations to the training data, respectively 0.76 and 0.0005 and 0.23 and 1.25 respectively was used to estimate the hydrophobicity. Our result showed the regression equations were satisfactory estimating Ks, FC, PWP, and water repellency using easily measurable soil properties For saturated hydraulic conductivity percent sand, organic matter and sodium absorption ratio had the highest impact, for estimation of the MWD, gravel, the of sodium absorption ratio, for estimation of FC and PWP, bulk density, clay and saturated hydraulic conductivity, and for the soil water repellency estimation, percent sand, of sodium adsorption ratio and dispersible clay had the most effect. The models obtained in this research had much better prediction of the Ks, PWP, FC, and MWD as compared to the models in the literature. Keywords: Pedotransfer functions, Saturated hydraulic conductivity, Field capacity, Permanent wilting point, Hydrophobicity.