To practice using JMP, I am analyzing and reproducing data from papers.
Among these, screening using the Plackett-Burman design and optimization using the central composite design were performed for three impurities to create a predictive model.
Similar predictive model equations were created for all of the models described in the paper.
The paper states that pooling was performed during the optimization process, but a model including all parameters was used to create a design space that combined the models.
Following this, we created a predictive model equation without pooling, i.e., including all parameters, to create a design space.
However, the area of the design space where impurities are 0.1% or greater does not match, and my design is wider.
The equation for the predictive model used to create the design space is not disclosed, so it is unclear, so what is the reason for this?
Sorry for the poor writing.
This post originally written in Japanese and has been translated for your convenience. When you reply, it will also be translated back to Japanese.
