solve_fsdea function

Build fsdea problem

For the given input and output build the feature selection problem and return it.

solve_fsdea(
  input,
  output,
  orientation = c("input", "output"),
  ninputs = ncol(input),
  noutputs = ncol(output),
  nvariables = ncol(input) + ncol(output),
  solver = "auto",
  lp
)

Arguments

• input: A matrix or a data frame containing the inputs of the units to be evaluated, with one row for each DMU and one column for each input.
• output: A matrix or a data frame containing the outputs of the units to be evaluated, with one row for each DMU and one column for each output.
• orientation: Use "input" for input orientation or "output" for output orientation in DEA model. The default is "input".
• ninputs: a number which is the number input features, variables, to be selected. Its default value is the number of input variables.
• noutputs: a number which is the number output features, variables, to be selected. Its default value is the number of output variables.
• nvariables: a number of total features, variables, to be selected. Only if both ninputs and noutputs are omitted. In other case it is ignored.
• solver: Any of the available solver that will be used by ROI to solve the optimization problem. Use ROI_installed_solvers() to list them.

Returns

list(status, obj, solver, iselected, oselected, ux, vy)

Details

This function implement the feature selection method in the article Benitez-Pena, S., Bogetoft, P. and Romero Morales, D. Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach Omega, Elsevier BV, 2020, Vol. 96, pp. 102068

Note: As this function is mainly for internal use, to avoid unnecessary overload, it does not do an extensive check of the input parameters. Use the higher level fsdea function instead.