1. A method for predicting process results on the basis of operation data and process result data of a processing apparatus while a plurality of objects are processed in a processing chamber of the processing apparatus, comprising the steps of: (a) collecting operation data and process result data obtained at the time of processing each of the objects; (b) performing a multivariate analysis on the basis of the collected operation data and process result data to obtain a first correlation between the operation data and the process result data; (c) predicting process results using operation data, obtained when objects other than the objects used to obtain the first correlation are processed, on the basis of the first correlation; (d) setting weighting coefficients for the respective operation data used at the step (b) on the basis of the predicted process results at the step (c); (e) obtaining weighted operation data by multiplying the operation data by the respective weighting coefficients corresponding thereto, and performing a multivariate analysis on the basis of the weighted operation data and the process result data to obtain a second correlation between the weighted operation data and the process result data; and (f) predicting process results using operation data, obtained when objects other than the objects used to obtain the second correlation are processed, on the basis of the second correlation.