Solving Multicollinearity in the Process of Fitting Regression Model Using the Nested Estimate Procedure

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Fixing collinearity instability in the estimation of body weight from morpho-biometrical traits of West African dwarf goats. (2009, background): “Inferences based on ordinary leastsquares regression can be influenced strongly by collinearity, and the fitted model hence, may reflect unusual features because of the overall relationship among the variable (1).”
Collinearity: revisiting the variance inflation factor in ridge regression (2015, methodology): “the surrogate ridge model [21] recently cited by Hadi [12], the raise method [9] and the nested regression [6]).”
Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes (2013, background): “According to Lin (2008) a tolerance of less than 0.20–0.10 or a VIF greater than 5–10 indicates a multicollinearity problem.”