Ridge Regression:

It is a method that used when the dataset having multicollinearity which means, the independent variables are strongly related to each other. Although the least-squares estimates are unbiased in multicollinearity, So after adding the degree of bias to the regression, ridge regression can reduce the standard errors.

Additional points:

In this regression, normality is not to be estimated the same as Least squares regression.

In this regression, the value could be varied but doesn’t come to zero.

This uses the …

computervision regression ridge