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The data corresponds to full factorial design with two factors coded as +/- and 3 replicates for each combination.
PET formulation A (factor)
PET formulation B (factor)
the measurement replicate I to III (factor)
the output variable measured on the PET, (numerical)
pet_doe
An object of classes design and data.frame with 12 observations of 4 variables.
For a complete case study application refer to https://j-ramalho.github.io/industRial/
# NOT RUN { data(pet_doe) contrasts(pet_doe$A) # }
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