I wonder if it is possible to minimize the variance of residuals/deviation(possibly in percentage) as the objective so that the amount of deviation is more evenly distributed. Current var(residuals) is 5.78...
As I look at the current API, I think I have to come up with custom weights (which I have yet to get the details out). Just wonder if you have better suggestions.
This is my test case with 4 sets:
A 13 13 0 0.007 B 6 6 0 0.003 C 28 28 0 0.015 D 8 8 0 0.004 A&B 6 6 0 0.003 A&C 23 23 0 0.013 A&D 9 0 9 0.054 B&C 8 8 0 0.004 B&D 3 0 3 0.018 C&D 17 17 0 0.009 A&B&C 9 9 0 0.005 A&B&D 2 0 2 0.012 A&C&D 19 19 0 0.010 B&C&D 9 9 0 0.005 A&B&C&D 7 7 0 0.004
diagError: 0.054 stress: 0.036
I wonder if it is possible to minimize the variance of residuals/deviation(possibly in percentage) as the objective so that the amount of deviation is more evenly distributed. Current var(residuals) is 5.78...
As I look at the current API, I think I have to come up with custom weights (which I have yet to get the details out). Just wonder if you have better suggestions.
Thanks.