Abstarct: The current research is focused on Cheshmeh-Noghreh area from Khorasan-e-Razavi Province. Sampling includes of 1396 lithogeochemical samples collected from 1:5000 Kashmar sheet. Samples have been submitted for North-East branch of Geological Survey of Iran and analyzed for Au, Cu, Pb, Ag, Zn, Mo, As, Sb, Bi and Hg elements by using ICp-OES and Fire Assay method. According to the tectonic geological studies, the study area has been affected by the two main Darouneh and Rivash faults and probable mineralization. Single-variant statistical analysis indicates a log-normal distribution and high concentration for Cu, Pb, Zn and Ag in the host rock. To perform multi-variate analysis, Cluster and PCA was performed and the relationship between important elements include of Au - Cu- Ag, Cu - Zn - Pb-Sb. Clustering and PCA results could evaluate Cu - Mo - Ag, Pb - Zn - Bi and Au - Hg - Sb as separated groups. In order to do a discriminant analysis, it was necessary to evaluate the threshold and anomaly values for probably mineralized elements. Therefore, Probability Plot Modeling was done and the thresholds calculated. Three groups were identified in some of the elements data baxse, which were used as baxse for coding the data set for the next step. In discriminant analysis, discriminant functions have been identified and applied on the data to separate the mineralized data from the background. Discriminant analysis (DA) is a multivariate statistical technique that classifies each observation into a specific group baxsed on observed predictor variables and predefined groups. baxsed on the results of the identification of mineralization potential in the area, canonical analysis explained relationships between mineralized variables and subsequently equations, provide the desired results of determined mineralization. Canonical correlation Analysis measure of the strength of the overall relationships between the linear composites (canonical variates) for the independent and dependent variables.