predPcaLda

the classifier built from <code><a rd-options="" href="/link/tunePcaLda?package=rModeling&version=0.0.3" data-mini-rdoc="rModeling::tunePcaLda">tunePcaLda</a></code>).

objModel

data matrix composed of samples to be predicted.

newData

Predict new instances given in <code>newData</code> using the PCA-LDA model <code>objModel</code> built from <code><a rd-options="" href="/link/tunePcaLda?package=rModeling&version=0.0.3" data-mini-rdoc="rModeling::tunePcaLda">tunePcaLda</a></code>).

A framework of cross-validation for spectral data analysis that allows for automatic tuning of model parameters and for model evaluation. It is particularly useful for applications where intra-group heterogeneity is significant due to inter individual differences. S. Guo, T. Bocklitz, U. Neugebauer, J.Popp (2017) <doi:10.1039/C7AY01363A>.

Shuxia Guo

rModeling

A Framework of Cross-Validation

Thomas Bocklitz

Juergen Popp

predPcaLda function

the classifier built from <code><a rd-options='' href='tunePcaLda'>tunePcaLda</a></code>).

Predict new instances given in <code>newData</code> using the PCA-LDA model <code>objModel</code> built from <code><a rd-options='' href='tunePcaLda'>tunePcaLda</a></code>).

Predict new instances using the PCA-LDA model built from <code><a rd-options='' href='tunePcaLda'>tunePcaLda</a></code>). — predPcaLda

Predict new instances using the PCA-LDA model built from <code><a rd-options='' href='tunePcaLda'>tunePcaLda</a></code>).

Predict new instances using the PCA-LDA model built from <code><a rd-options="" href="/link/tunePcaLda?package=rModeling&version=0.0.3" data-mini-rdoc="rModeling::tunePcaLda">tunePcaLda</a></code>).

predPcaLda: Predict new instances using the PCA-LDA model built from `tunePcaLda`).

Description

Usage

Arguments

Value