Industrial Automatic Control Systems and Controllers Annotation << Back Factors Rejection in Linear Regression Model A.A. Moiseev Developed the alternative method of factors rejection in linear regression model based on preliminary factors ranking by means of regular plans and posterior statistical rejection of least loaded factors. If number of studied factors exceeds factors number in regular plan performed preliminary regular plan selection among other such plans which provides maximal spread of experimental results. Analyzed plans formed using generating functions method. Keywords: linear regression model; factor experiment; regular plan; factor load; statistical rejection; fictitious factor; Neuman-Pearson criterion; Fisher criterion; model adequacy; generating functions. Contacts: E-mail: slow.coach@yandex.ru Pp. 28-31.