README.md

In jialiwang1211/groupPLS: Two-step group penalized partial least squares regression

groupPLS

Perform two step penalized group partial least squares on spectroscopy data from a eucalypt forest. Spectral reflectance was measured for 69 healthy leaves, with spectral data between 350 - 2500 nm and 1 nm band spacing resolution. We predicted the four response variables: carotene, chlorophyll, EPS (xanthophyll epoxidation state) and weight using the full spectrum data.

library(devtools) \ install_github("jialiwang1211/groupPLS")\ library(groupPLS)

data<-read.csv("Spectra_eps.csv")\ data<-data[complete.cases(data),]\

groupPLS(data[,c(2,4:6)] ~ data[,7:dim(data)[2]], k=3)\

jialiwang1211/groupPLS documentation built on Feb. 17, 2020, 12:35 a.m.