If I am running a nonlinear optimization model and I am using a NLPQN function. In addition to I want to the result for more than one variable, 4 of them are defined at the optimization function, and also these 4 variables are defined at the constraints as well as an additional variable defined at the constraints. I compressed all these variables at one vector and I called them at the NLPQN statement but that didn't work, so any suggested ideas that can help?