Streamlining spectral data processing and modeling for spectroscopy applications
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pls-modeling.R
\name{pls_ken_stone}
\alias{pls_ken_stone}
\title{Calibration sampling, model tuning, and PLS regression}
\usage{
pls_ken_stone(spec_chem, ratio_val, pc, print = TRUE, validation = TRUE,
variable, env = parent.frame())
}
\arguments{
\item{spec_chem}{data.frame that contains IR spectroscopy
and chemical data}
\item{ratio_val}{Ratio of number of validation and all samples.}
\item{pc}{Number of Principal Components used for Calibration
sampling (Kennard-Stones algorithm)}
\item{print}{Logical expression weather graphs shall be printed}
\item{validation}{Logical expression weather independent
validation is performed}
\item{variable}{Response variable (without quotes)}
\item{env}{Environment where function is evaluated}
\item{k}{Number of validation samples}
}
\description{
Perform calibration sampling and use selected
calibration set for model tuning
}