regres

Class for storing and visualisation of regression predictions

Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.

Sergey Kucheryavskiy

mdatools

Multivariate Data Analysis for Chemometrics

regres function

<dl><dt>y.pred</dt>
<dd>vector or matrix with y predicted values</dd>
<dt>y.ref</dt>
<dd>vector with reference (measured) y values</dd>
<dt>ncomp.selected</dt>
<dd>if y.pred calculated for different components, which to use as default</dd></dl>

Arguments

Regression results — regres

<dl>

<dt>y.pred</dt>
<dd>vector or matrix with y predicted values</dd>


<dt>y.ref</dt>
<dd>vector with reference (measured) y values</dd>


<dt>ncomp.selected</dt>
<dd>if y.pred calculated for different components, which to use as default</dd>

</dl>

`y.pred`	a matrix with predicted values
`y.ref`	a vector with reference (measured) values
`ncomp.selected`	selected column/number of components for predictions
`rmse`	root mean squared error for predicted vs measured values
`slope`	slope for predicted vs measured values
`r2`	coefficient of determination for predicted vs measured values
`bias`	bias for predicted vs measured values
`rpd`	RPD values

regres: Regression results

Description

Usage

Value

Arguments