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training
2013 Mar 02
2
caret pls model statistics
...(caret)
data(iris)
#needed to convert to numeric in order to do regression
#I don't fully understand this but if I left as a factor I would get an
error following the summary function
iris$Species=as.numeric(iris$Species)
inTrain1=createDataPartition(y=iris$Species,
p=.75,
list=FALSE)
training1=iris[inTrain1,]
testing1=iris[-inTrain1,]
ctrl1=trainControl(method="cv",
number=10)
plsFit2=train(Species~.,
data=training1,
method="pls",
trControl=ctrl1,
metric="Rsquared",
preProc=c("scale"))
data(iris)
training1=iris[inTrain1,]...