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🏔️ Response Surface Methodology (RSM)
CCD/BBD design generation + quadratic regression + optimum parameter search
Response Surface Methodology (RSM) is used for process / formulation optimization. First pick the design type and number of factors, enter each factor's low/high levels, and the design is generated automatically; after running the experiments, enter the responses and a quadratic regression model is fitted and the optimum is recommended.
Design Type
Number of Factors
Factor Names and Levels (-1 low / +1 high)
📋 Design ( runs total )
📐 Regression Model
📊 ANOVA Table
🎯 Recommended Optimum
📈 Response Surface (Contour)
Note: RSM fits a quadratic model Y = b0 + ΣbiXi + ΣbiiXi² + ΣbijXiXj. CCD includes axial and center points and suits sequential experiments; BBD has no axial points (factor levels stay within the chosen range) and suits safety-constrained scenarios.
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About Response Surface (RSM)
Response surface methodology tool: generate central composite and Box-Behnken designs, fit second-order models and solve for the optimal parameter combination.
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Design of Experiments (DOE)
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Linear Regression
Curve Fitting
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