Description Usage Arguments Details Value Author(s) References See Also Examples
The function vip
computes the influence on the Y-responses of
every predictor X in the model.
1 | vip(object)
|
object |
object of class inheriting from |
Variable importance in projection (VIP) coefficients reflect the relative importance of each X variable for each X variate in the prediction model. VIP coefficients thus represent the importance of each X variable in fitting both the X- and Y-variates, since the Y-variates are predicted from the X-variates.
VIP allows to classify the X-variables according to their explanatory power of Y. Predictors with large VIP, larger than 1, are the most relevant for explaining Y.
vip
produces a matrix of VIP coefficients for each X
variable (rows) on each variate component (columns).
Sébastien Déjean and Ignacio Gonz\'alez.
Tenenhaus, M. (1998). La regression PLS: theorie et pratique. Paris: Editions Technic.
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