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{fit_pls_q}
\alias{fit_pls_q}
\title{Fit a PLS regression model
(quoted version of the function)}
\usage{
fit_pls_q(x, validation = TRUE, variable, tr_control, env = parent.frame())
}
\arguments{
\item{x}{List that contains calibration
set, validation set, and model tuning options}
\item{validation}{Logical expression weather independent
validation is performed}
\item{variable}{Response variable to be modeled}
\item{tr_control}{Object that defines controlling parameters
of the desired internal validation framework}
\item{env}{Environment where function is evaluated}
}
\description{
Uses the caret package to perform PLS modeling.
Spectra are centered and scaled prior to modeling.
}