ols_correlations returns an object of class "ols_correlations".
An object of class "ols_correlations" is a data frame containing the
following components:
Zero-order
zero order correlations
Partial
partial correlations
Part
part correlations
Arguments
model
An object of class lm.
Details
ols_correlations() returns the relative importance of independent
variables in determining response variable. How much each variable uniquely
contributes to rsquare over and above that which can be accounted for by the
other predictors? Zero order correlation is the Pearson correlation
coefficient between the dependent variable and the independent variables.
Part correlations indicates how much rsquare will decrease if that variable
is removed from the model and partial correlations indicates amount of
variance in response variable, which is not estimated by the other
independent variables in the model, but is estimated by the specific
variable.
References
Morrison, D. F. 1976. Multivariate statistical methods. New York: McGraw-Hill.