boostingDEA (version 0.1.0)

DDF: Linear programming model for Directional Distance Function measure

Description

This function predicts the expected output through a DEA model.

Usage

DDF(
  data,
  x,
  y,
  dataOriginal = data,
  xOriginal = x,
  yOriginal = y,
  FDH = FALSE,
  direction.vector
)

Value

matrix with the the predicted score

Arguments

data

data.frame or matrix containing the new variables in the model.

x

Vector. Column input indexes in data.

y

Vector. Column output indexes in data.

dataOriginal

data.frame or matrix containing the original variables used to create the model.

xOriginal

Vector. Column input indexes in original data.

yOriginal

Vector. Column output indexes in original data.

FDH

Binary decision variables

direction.vector

Direction vector. Valid values are: dmu (x_0, y_0), unit (unit vector), mean (mean values of each variable) and a user specific vector of the same length as the number of input and output variables