vif_predictors.md
In caretSDM: Build Species Distribution Modeling using 'caret'

vif_predictors - normal path

Code
  vif_summary(i)
Output
  4 variables from the 6 input variables have collinearity problem:

  sub soma bio1 bio12

  After excluding the collinear variables, the linear correlation coefficients ranges between: 
  min correlation ( prod ~ div ):  -0.09041999 
  max correlation ( prod ~ div ):  -0.09041999

  ---------- VIFs of the remained variables -------- 
    Variables      VIF
  1       div 1.008243
  2      prod 1.008243

Code
  vif_summary(i)
Output
  4 variables from the 6 input variables have collinearity problem:

  sub soma bio1 bio12

  After excluding the collinear variables, the linear correlation coefficients ranges between: 
  min correlation ( prod ~ div ):  -0.09041999 
  max correlation ( prod ~ div ):  -0.09041999

  ---------- VIFs of the remained variables -------- 
    Variables      VIF
  1       div 1.008243
  2      prod 1.008243

vif_predictors - facnum

Code
  vif_summary(i)
Output
  No variable from the 3 input variables has collinearity problem.

  The linear correlation coefficients ranges between: 
  min correlation ( bio12 ~ bio1 ):  -0.5114804 
  max correlation ( test ~ bio1 ):  -0.8292101

  ---------- VIFs of the remained variables -------- 
    Variables      VIF
  1      bio1 3.211198
  2     bio12 1.527657
  3      test 3.610643