Uniform Design & Analysis

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Step 1: Define Experimental Design

Select your design parameters sequentially. Each choice will reveal the next available option.

1. Select Design Type

2. Number of Factors (s)

3. Number of Levels (q) Number of Runs (n)

Step 2: Enter Experimental Results

Step 3: Regression Analysis Results

Variable Selection

Regression Model ⓘ Select a model to see its description.

Regularization Strength (α)

Log-transform response (Y)

Log-transform factors (X)

Model Summary

Predicted vs. Actual Plot

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Factor Correlation Matrix

Values close to 1 (red) indicate strong positive correlation. Values close to -1 (blue) indicate strong negative correlation. White/gray values indicate low correlation.

Model Response Surface

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