enspls.od.core: core function for enspls.od
In road2stat/enpls: Ensemble Partial Least Squares Regression
Description
select the best ncomp and alpha with cross-validation,
then use them to fit the complete training set,
and predict on the test set. scale = TRUE
Usage
1
enspls.od.core(x.sample, y.sample, x.remain, y.remain, maxcomp, cvfolds, alpha)
Value
the error vector between predicted y and real y
road2stat/enpls documentation built on Dec. 30, 2021, 2:20 a.m.
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Description
select the best ncomp and alpha with cross-validation, then use them to fit the complete training set, and predict on the test set. scale = TRUE
Usage
1 | enspls.od.core(x.sample, y.sample, x.remain, y.remain, maxcomp, cvfolds, alpha)
|
Value
the error vector between predicted y and real y
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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