Hello Tom,
Thank you for your reply!
Indeed, I can use your example as guidance (and I did). I put below, some of the screenshots to help the discussion.
In this case, i have 1 ingredient A with 3 different subtypes (A1, A2 and A3). If possible I would like to evaluate combinations of maximum 2 A ingredients (A1+A2, A1+A3, A2+A3) and obviously mixtures with only one type of A.
The total sum of ingredients in this case is only 44.34% (the other ingredients are not changed).Something similar to another of your examples.
I only put main factors in the model. I just wanted to know what I would get. In this case, for some reason, I only get mixtures with only 1 A ingredient (out of the 3 A ingredients that i have) . Do you know why we get this type of design?
Another question that I have (and this is more fundamental i believe) is about the correlations. From the correlations map, I would understand that this DOE is not great. Is that right? What can we do in general in this type of situations?
Similary, with the Power, I have the feeling that this is not great either? (Although I have to admit that I dont fully grasp the concept of power :-(
Again, what can we do in this type of situations?
Thank you again for any help!
![Capture Models 3As.PNG Capture Models 3As.PNG](https://community.jmp.com/t5/image/serverpage/image-id/15967iC5F0A94BF9BB62D2/image-size/large?v=v2&px=999)
![Capture Correlations 3As.PNG Capture Correlations 3As.PNG](https://community.jmp.com/t5/image/serverpage/image-id/15968i8FB2970D5E3D2108/image-size/large?v=v2&px=999)
![Capture Power 3As.PNG Capture Power 3As.PNG](https://community.jmp.com/t5/image/serverpage/image-id/15969i0852816A78B2216D/image-size/large?v=v2&px=999)