Partial Least Squares Regression in R

Hey everyone,

I recently ran a PLSR in R. I was wondering, given the number of components that it produces, can the components be extracted and put into a data frame? For example, if I ran a PCA I could do:

my_pca <- prcomp(~., data = data[, c(x1:xN)], scale = TRUE)

(loadings <- my_pca$rotation)

pca_var <- predict(my_pca, newdata = data[, c(x1:xN)])

head(pca_var)

data <- cbind(data, z_pca_var)

to put the principal components into my data set (so that I can then …

datascience least regression squares