Multi-response Regression Modeling for an Agricultural Experiment

Abstract

During building model process, it is difficult to construct a multiple regression model (MRM) while the response variable(Y) is proposed as a vector of (r.v), (Y1,Y2,Y3,…..,Yn) in an experiment. So that a single response (MRM) is not able to perform multi-response data (MRD) separately (one for each response), this is because of the linear dependency (LD) among responses, then (MRRM) which was proposed by (Len Beirman, & Freidman 1997) has better performance to detect effects and patterns for the factors, (Explanatory) (X1 , X2, X3 ,…..Xk )that are introduced to the (MRRM) system on the (r.v) altogether. This Study was applied (MRRM) on an agricultural experiment through (450m2) in west Sulaimani- Kurdistan Region-Iraq.