PLSR_from_file_and_predict_second_dataset: Partial Least Squares and predict second dataset
In KSheu/ksheu.lib: KSheu Library1

View source: R/PLSR_from_file_and_predict_second_dataset.R

Builds PLS model from training dataset and predicts second dataset Writes out predicted.scores of the second dataset Plots original PLS, projected samples only, and projected samples ontop of original PLS

PLSR_from_file_and_predict_second_dataset(file, file2, sample.names,
  sample.type, y.response, sample.names2 = NULL, sample.type2 = NULL,
  train_string, title = "PLSR", comp.x = "comp.1", comp.y = "comp.2",
  comps = 3, scale = F, labels = F, fread = FALSE)

`file`	file for X matirx
`file2`	file for test data matrix
`sample.names`	Vector of sample names in X matrix
`sample.type`	vector of sample groups
`y.response`	numeric vector of response values in same order as samples
`sample.names2`	Vector of sample names in 2nd dataset, if needed
`sample.type2`	Vector of sample types in 2nd dataset, if needed
`train_string`	string to insert in file name of predicted scores
`title`	title of the plot
`comp.x, comp.y`	comps to display
`scale`	default=T
`labels`	label the plot, default = T
`fread`	default=F, use fread for large input files
`comp`	number of components to compute