vipscores: VIP scores for PLS model
In mdatools: Multivariate Data Analysis for Chemometrics
vipscores R Documentation
VIP scores for PLS model
Description
Calculates VIP (Variable Importance in Projection) scores for predictors for given number
of components and response variable.
Usage
vipscores(obj, ncomp = obj$ncomp.selected)
Arguments
obj
a PLS model (object of class pls)
ncomp
number of components to count
Details
May take some time in case of large number of predictors Returns results as a column-vector,
with all necessary attributes inherited (e.g. xaxis.values, excluded variables, etc.). If you
want to make a plot use for example: mdaplot(mda.t(v), type = "l"), where v is
a vector with computed VIP scores. Or just try plotVIPScores.pls.
Value
matrix nvar x ny with VIP score values (columns correspond to responses).
References
[1] Il-Gyo Chong, Chi-Hyuck Jun. Chemometrics and Laboratory Systems, 78 (2005), pp. 103-112.
mdatools documentation built on Aug. 13, 2023, 1:06 a.m.
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| vipscores | R Documentation |
VIP scores for PLS model
Description
Calculates VIP (Variable Importance in Projection) scores for predictors for given number of components and response variable.
Usage
vipscores(obj, ncomp = obj$ncomp.selected)
Arguments
obj |
a PLS model (object of class |
ncomp |
number of components to count |
Details
May take some time in case of large number of predictors Returns results as a column-vector,
with all necessary attributes inherited (e.g. xaxis.values, excluded variables, etc.). If you
want to make a plot use for example: mdaplot(mda.t(v), type = "l"), where v is
a vector with computed VIP scores. Or just try plotVIPScores.pls.
Value
matrix nvar x ny with VIP score values (columns correspond to responses).
References
[1] Il-Gyo Chong, Chi-Hyuck Jun. Chemometrics and Laboratory Systems, 78 (2005), pp. 103-112.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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