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seemingly unrelated regression model when explanatory variables are affected by multicollinearity. To that end, we split the …
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It is known that, when in the linear regression model there is a high degree of multicollinearity, the results obtained … also shown that regression with orthogonal variables makes sense regardless of the existence of serious multicollinearity …
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non-parametric random forest algorithm. The multicollinearity is detected based on the variance inflation factor. Owing to … the presence of multicollinearity, regularisation techniques such as ridge regression and extensions of the least absolute …
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