Mixing Plans: Constraints and Models

This lecture covers the concept of mixing plans in Design of Experiments, focusing on the representation of constraints and models in a mixing space. The instructor explains the ternary-Cartesian transformation, the matrix of experiences, and the factorial plane for components. The lecture also discusses the composition of mixing plans, the simplex response surface, and the conclusion on mixing models. Emphasis is placed on the relationship between factors and models, as well as the importance of offering degrees of freedom in the experimental design.