sample_loo_basic

internal

Provides tools to build quantitative chemometric models and
applications for near-infrared (NIR) sensors. Chemometric regression
models are based on partial least squares regression as described by
Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified
partial least squares regression as described by Shenk and Westerhaus
(1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further
discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.

Leonardo Ramirez-Lopez

proximetricsR

Spectral Preprocessing and Chemometric Calibration of NIR
Sensors

Claudio Orellano

Nicolae Cudlenco

Mai Said

Mohamed Abushosha

Marcal Plans

sample_loo_basic function

Simple leave-one-out sampling — sample_loo_basic

Simple leave-one-out sampling

sample_loo_basic: Simple leave-one-out sampling

Description

Usage

Arguments

Value