Variance inflation factor (VIF) is a measure of the amount of multicollinearity in a set of multiple regression variables.

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 ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

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 ...

Figure 2. The application of RRM with one-model global regression combined with ordinary least-squares fitting, using two equations: the Eq. 8 containing the common logarithm of the concentration to ...

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 ...