datadea: A deadata object, including n DMUs, m inputs and s outputs.
dmu_eval: A numeric vector containing which DMUs have to be evaluated. If NULL (default), all DMUs are considered.
dmu_ref: A numeric vector containing which DMUs are the evaluation reference set. If NULL (default), all DMUs are considered.
orientation: A string, equal to "no" (non-oriented), "io" (input oriented), or "oo" (output oriented).
irdm: Logical. If it is TRUE, it applies the IRDM (inverse range directional model).
maxslack: Logical. If it is TRUE, it computes the max slack solution.
weight_slack_i: A value, vector of length m, or matrix m x ne (where ne is the length of dmu_eval) with the weights of the input slacks for the max slack solution.
weight_slack_o: A value, vector of length s, or matrix s x ne (where ne is the length of dmu_eval) with the weights of the output slacks for the max slack solution.
compute_target: Logical. If it is TRUE, it computes targets of the max slack solution.
returnlp: Logical. If it is TRUE, it returns the linear problems (objective function and constraints) of stage 1.
...: Ignored, for compatibility issues.
Note
Undesirable inputs/outputs are treated as negative inputs/outputs in this model.
References
Portela, M.; Thanassoulis, E.; Simpson, G. (2004). "Negative data in DEA: a directional distance approach applied to bank branches", Journal of the Operational Research Society, 55 1111-1121.