A data set for DMUs to be evaluated. A data frame with
J1*(M+N) dimention, where J1 is the number of DMUs, M for the number
of inputs, and N for the number of outputs.
frontier
A data set for DMUs to be used in constructing a
production possibility set (PPS). A data frame with J2*(M+N)
dimention, where J2 is the number of DMUs, M for the number of
inputs, and N for the number of outputs.
noutput
The number of outputs (N).
orientation
Orientation of measurement. 1 for the input-oriented
measure, and 2 for the output-oriented measure.
rts
Returns to scale. 1 for the CRS assumption, and 2 for the
VRS assumption.
Details
The input-oriented dual DEA under the CRS assumption is
calculated. For model specification, take a look at Cooper et
al. (2007).
Value
A data frame with J1*(1+M+N) dimension, of which has efficiency scores, optimal
virtual prices for inputs and outputs.
Cooper, W., Seiford, L. and Tone, K. (2007). Data envelopment
analysis: a comprehensive text with models, applications, references
and DEA-solver software (2nd ed.). Springer Verlag, New York.
Lee, J. and Oh, D. (forthcoming). Efficiency Analysis: Data
Envelopment Analysis. Press (in Korean).
See Also
dea, ar.dual.dea
Examples
## An output-oriented primal problem with 1 input and 2 outputs
tab5.1.dat <- data.frame(y1 = c(4, 8, 8, 4, 3, 1),
y2 = c(9, 6, 4, 3, 5, 6),
x = c(1, 1, 1, 1, 1, 1))
(re <- dea(tab5.1.dat, noutput = 2, orientation = 2, rts = 1))
## An output-oriented dual problem with 1 input and 2 outputs
re <- dual.dea(tab5.1.dat, noutput = 2, orientation = 2, rts = 1)