I am doing a group-wide averaging in FEAT. The only complexity is that I have regressed the data on subject of origin (2 data sets per individual).
This works fine. However, when adding a covariate regressor, FEAT is crashing (seemingly due to linear combinations found in my design). Am I setting up the design wrong or is my covariate regressor inherently confounded somehow?
Design Below::
See attached efficiency matrix.
Covariate has been mean-normalized.
Design:
1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3258
1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3258
1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.5604
1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.5604
1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 -1.6807
1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 -1.6807
1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 -0.7545
1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 -0.7545
1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1.2794
1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1.2794
1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0.3258
1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0.3258
1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 -0.7545
1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 -0.7545
1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.2063
1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.2063
1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 -0.3112
1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 -0.3112
1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 -1.9168
1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 -1.9168
1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 -0.7545
1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 -0.7545
1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.2063
1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.2063
1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.3258
1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.3258
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0.9822
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0.9822
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.5604
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.5604
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.6002
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.6002
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