Response surface methodology is a type of experimental design in which the goal is to determine settings of inputs or predictor variables for optimizing the expected response.
Topics covered include:
- First and Second-order models
- response surface and contour plots
- central composite designs
- Box-Behnken designs
The designs and methodology will be illustrated using examples from the rsm library in R.