Dear all,
I am setting up a design matrix (see attached) in which each of my 54 subjects has a 'pre-' vs 'post-' paired comparison.
The subjects are divided into three groups (EVs 1-2-3), EVs 4 and 5 are covariates of no interest, and EV6-59 are the individual subjects.
Feat is complaining that "at least one EV is (close to) a linear combination of the others" (see below for more details). However, when I double check the model, this does not seem to be the case. Or am I missing something? Also, editing the design matrix from the GUI is veeeery slow. Is it possible that it is an issue with the size of the design matrix?
Thanks!
Marco
"Problem with processing the model: Warning: at least one EV is (close to) a linear combination of the others. You probably need to alter your design. (Design matrix is rank deficient - ratio of min:max eigenvalues in SVD of matrix is 2.28634e-17)
with 54 subjects, divided into 3 groups, each with 2 conditions.
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