adjusted R2. (See also
R parameters in the model compared to the number of observations. At least three methods have been proposed for calculating adjusted R2: Wherry’s formula [1-(1-R2)·(n-1)/(n-v)], McNemar’s formula [1-(1-R2)·(n-1)/(n-v-1)], and Lord’s formula [1-(1-R2)(n+v-1)/(n-v-1)]. Uhl and Eisenberg (1970) concluded that Lord’s formula is most effective of these for estimating a priori analysis.
Uhl, N. & T. Eisenberg (1970), “Predicting shrinkage
in the multiple correlation coefficient,” Educational and Psychological
Measurement, 30, 487-489.