dea.ccr.oo.mul {DEA} | R Documentation |
Fits an output oriented DEA model in multiplier form with constant returns to scale. This model corresponds to eqs. 3.68-3.71 in Cooper et al., 2007 (see References).
dea.ccr.oo.mul( X , Y , pslv = FALSE , dual = FALSE , infor = FALSE )
X |
inputs. Bidimensional data frame or object that can be coerced to a data frame. Each row corresponds to a DMU, each column to an input. |
Y |
outputs. Bidimensional data frame or object that can be coerced to a data frame. Each row corresponds to a DMU, each column to an output. |
pslv |
logical. Defaults to FALSE . If TRUE , the simplex presolver will be used. |
dual |
logical. Defaults to FALSE . IF TRUE and the initial basic solution is dual feasible, dual simplex is used. |
infor |
logical. Defaults to FALSE . If TRUE , information about the convergence of the optimization process will be sent to the console. |
Missing values are not allowed.newline newline If pslv=TRUE
, a glpk built-in LP presolver is enabled. It may improve the numeric properties of the LP problem. newline newline
If infor=TRUE
, each line of information sent to the console consists of five columns with some details about the calculus of the efficiency for each DMU. First column indicates if the linear program has been successfully solved, or not ("OK" or "FAULT"). The other ones contain information reported by the glpk solver about the quality of the solution. Their values can be "H", "M", "L" or "?", which mean high, medium, low or wrong, respectively. If all the indicators show high or medium quality, the user can be sure that the solution is quite accurate. For more details see Makhorin (2005).
a list with components:
eff |
a vector containing the technical efficiency of the DMUs. |
weights |
a data frame containing the weights. Each row corresponds to a DMU and each column to a weight. |
Cooper, W. W., Seiford, L. M. and Tone, K. (2007): Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Second edition. Springer. New York.
Makhorin, A. (2005): GNU Linear Programming Kit. Reference Manual. Version 4.8. Available at http://www.gnu.org/software/glpk/