Simultaneous optimization of multiple responses with the R package JOP

A joint optimization plot,shortly jop,graphically displays the result of a loss function based robust parameter design for multiple responses. different importance of reaching a target value can be assigned to the individual responses by weights. the jop method simultaneously runs through a whole range of possible weights. for each weight matrix a parameter setting is derived which minimizes the estimated expected loss. the joint optimization plot displays these settings together with corresponding expected values and standard deviations of the response variable. the r package jop provides all tools necessary to apply the jop approach to a given data set. it also returns parameter settings for a desirable compromise of achieved expected responses chosen from the plot.