I have a dataset with 4 treatments (Locations) that were repeated for 3 Years. When I run a full factorial (Year, Location, Year*Location) I get the nonEstimable error message, as seen below. When I analyze just Year and Location with no interaction, I do get results as seen below. Now when I don't select a By element in the Fit Model control panel, specifically don't select Cultivar as a By element, I do get a result for the full factorial, as seen below.
1) Do I not have enough degrees of freedom to test the Full Factorial with a By element? Is why I am getting the NonEstimable message. I know the message has to do with confounding factors but to be honest I don't know what I am supposed to do as a solution.
(I have pasted some of my data to give an idea of what I am working with, please note the sample size being small and unbalanced for example)
2) If my DFs are too low, are there any solutions/alternatives to testing the interaction?
Full factorial- nonestimable:
![10123_pastedImage_2.png 10123_pastedImage_2.png](https://community.jmp.com/t5/image/serverpage/image-id/2256i9BCC4D17A3AA969E/image-size/medium?v=v2&px=400)
No interaction:
![10122_pastedImage_1.png 10122_pastedImage_1.png](https://community.jmp.com/t5/image/serverpage/image-id/2257iD006A16CCC05BDA1/image-size/medium?v=v2&px=400)
Full factorial without By element:
![10126_pastedImage_0.png 10126_pastedImage_0.png](https://community.jmp.com/t5/image/serverpage/image-id/2258i49F823A252BF3E4B/image-size/medium?v=v2&px=400)
Data snapshot:
![10124_pastedImage_6.png 10124_pastedImage_6.png](https://community.jmp.com/t5/image/serverpage/image-id/2259i670AE5D8F087BF68/image-size/medium?v=v2&px=400)