R language evaluates the relative importance of the predictive factors (variables, characteristics) of the regression model, scales the predictive variables of the regression model, and then construct

R Language evaluation regression model predictors （ Variable 、 features ） The relative importance of （Relative importance）、 Standardize the predictive variables of the regression model （scale） Then build a model to obtain standardized regression coefficients to evaluate the relative importance of predictive variables

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