wu sz writes:
trainSet = as.data.frame(scale(trainSet, center = T, scale = T))
trainSet.plsr = mvr(formula, ncomp = 14, data = trainSet, method =
kernelpls,
CV = TRUE, validation = LOO, model = TRUE, x = TRUE,
y = TRUE)
[Two side notes here:
1)
Hello,
I have a data set with 15 variables (first one is the response) and
1200 observations. Now I use pls package to do the plsr with cross
validation as below.
trainSet = as.data.frame(scale(trainSet, center = T, scale = T))
trainSet.plsr = mvr(formula, ncomp = 14, data = trainSet, method =
Hello,
I have a data set with 15 variables (first one is the response) and
1200 observations. Now I use pls package to do the plsr with cross
validation as below.
trainSet = as.data.frame(scale(trainSet, center = T, scale = T))
trainSet.plsr = mvr(formula, ncomp = 14, data = trainSet, method =
