Check the degree of multicollinearity present in the dataset
Degree of multicollinearity present in the dataset can be determined by using two type of indicators, called VIF and Condition Number.
in this section interested model should be given. This should be given as a
an optional data frame, list or environment containing the variables in the model. If not found in
if the dataset contain
If all the values of VIF > 10 implies that multicollinearity present.
If condition number < 10 ; There is not multicollinearity.
30 < condition number < 100 ; There is a multicollinearity.
condition number >100 ; Severe multicollinearity.
checkm returns the values of two multicllinearity indicators VIF and Condition Number.
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