ZET-R algorithm is used for detection of rough errors in the initial data table (so called «table editing» regime [1] ). For this purpose the program predicts all elements of the table in turn and compares the predictions with actual data.  
     If the predicted value coincides with initial one or is closed to it, then it means that given element conforms satisfactorily to regularities of the given part of the data table. 
     If the big disagreement is found, then the necessity of given element verification is signalled. If this table element reveals the unique fact, coming out from the general regularity, then its rightness must be confirmed. If it reveals the error, the error must be corrected. 
     This methods makes possible to detect rough errors and intentional distortions of single elements of data table.