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Therefore, the data set showed multiple collinearity problems.
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The successive projections algorithm (SPA) is a variable selection technique designed to minimize collinearity problems in multiple linear regression (MLR).
Neither the correlations nor collinearity statistics indicate collinearity problems for those variables that go into one model.
Unfortunately, collinearity problems prevented the inclusion of more than one governance indicator in the regression.
As usual, one of the (B) brands must be excluded in order to avoid collinearity problems.
These collinearity problems should be resolved for investigation of the relationships between and among the measurement variables.
The vegetation cryoturbation interaction was studied across three altitudinal zones by applying hierarchical partitioning (HP) and variation partitioning (VP) methods that overcome collinearity problems in multivariate analysis.
Nonlinear relationship, delayed effects and collinearity problems are key issues for achieving robust and accurate estimations in this kind of weather-health relationship explorations.
Nonetheless, collinearity problems can be effectively alleviated using an analytical method named hierarchical partitioning (HP hereafter; [3]).
No collinearity problems were detected between any of the variables.
Multiple collinearity was investigated with variance inflation factor (VIF).
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