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R-squared is the proportion of the total sum of squares explained by the model. Rsquared, a property of the fitted model, is a structure with two fields: Ordinary â Ordinary (unadjusted) R-squared. Adjusted â R-squared adjusted for the number of coefficients.
R^2 is the proportion of sample variance explained by predictors in the model. Thus it is the ratio of the explained sums of squares to the total sums of squares in the sample. R is the multiple correlation coefficient obtained by correlating the predicted data (y-hat) and observed data (y).