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.
1 2 3 4 5 6 7 8 9 10 11 | data(linnerud)
X <- linnerud$exercise
Y <- linnerud$physiological
linn.pls <- pls(X, Y)
linn.vip <- vip(linn.pls)
barplot(linn.vip,
beside = TRUE, col = c("lightblue", "mistyrose", "lightcyan"),
ylim = c(0, 1.7), legend = rownames(linn.vip),
main = "Variable Importance in the Projection", font.main = 4)
|
Loading required package: MASS
Loading required package: lattice
Loading required package: ggplot2
Loaded mixOmics 6.1.3
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Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE
3: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
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