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Estimates squared variance by decomposing model prediction error.
get_var(estimate)
predicted vector
# NOT RUN { # Sample data test <- rnorm(25, 80, 35) predicted <- rnorm(25, 80, 50) mlf::get_var(predicted) # }
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