Planned Experiment

PlanExp is a complete environment for design of experiments, ordinary-least-squares regression, and response-surface work — from the planning matrix to 2D contours, 3D surfaces, and ternary diagrams. Build a plan, enter replicate measurements, fit a polynomial model, test it, and read the optimum inside the coded cube [−1, +1]^k. Factor coding follows the classical DOE convention x = (X − X0) / ΔX. WHAT YOU CAN DO • Choose a design: one-factor grid, 2^k and 2^(k−p), Box–Draper B-D13, rotatable / face-centered / inscribed CCD, Box–Behnken, Plackett–Burman, Doehlert, 3^k, Taguchi arrays, simplex lattice for mixtures, D-optimal, Latin hypercube, and definitive screening. • Fit OLS models with main effects, two-factor interactions, and quadratic terms. Optional three-way interactions for 2^k. • Run Cochran’s C for variance homogeneity, Student’s t on coefficients, and Fisher’s F for lack of…