validation: Fonction validation

In Dampeel/plsda: PLS algorithm used for discriminant analysis

Description

This function takes a plsda-pred, a prediction computed by the predict function of the plsda package and compare it to the y.exp vector provide. It will returns the residuals, the confusion matrix and the error rate.

Usage

validation(result, y.exp)

Arguments

result	The result obtained with the predict.plsda of this package, must contains y.hat and Y.hat as a list.
y.exp	The expected y, it will be confronted to y.hat found in the result parameter, so it must have the same number of items/

Value

A plsda-valid object that contains residuals, confusion matrix and error rate.

Examples

model <- fit(Species ~ ., data = iris)
result <- predict(model, iris[,1:4])
validation(result, iris[,5])

Dampeel/plsda documentation built on May 23, 2019, 8:19 p.m.