regres {mdatools} | R Documentation |
Regression results
Description
Class for storing and visualisation of regression predictions
Usage
regres(y.pred, y.ref = NULL, ncomp.selected = 1)
Arguments
y.pred |
vector or matrix with y predicted values |
y.ref |
vector with reference (measured) y values |
ncomp.selected |
if y.pred calculated for different components, which to use as default |
Value
a list (object of regres
class) with fields, including:
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 |
[Package mdatools version 0.14.1 Index]