A variance inflation factor (VIF) provides a measure of multicollinearity among the independent variables in a multiple regression model. Detecting multicollinearity is important because while ...

Equation 4 can be estimated using an ordinary least square (OlS) regression model. As discussed earlier, the adoption variable of improved soybean varieties (I i) is endogenous in Equation 4, because ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

This procedure estimates partial least squares (PLS, also known as "projection to latent structure") regression models. PLS is a predictive technique that is an alternative to ordinary least squares ...

Powerful statistical tools, such as ordinary least squares (OLS) and Yule-Walker equations are utilized to estimate the parameters of the regression models. Akaike information criterion (AIC) and ...

The implementation of RRM with two-model global regression combined with ordinary least-squares fitting, using two equations (as alternatives in addition to the Eq. 2 representing the Hill model): the ...

This paper critically examines ‘kitchen sink regression’, a practice characterised by the manual or automated selection of variables for a multivariable regression model based on p values or ...