说明的这个解释的很清楚。
Results for firm:
8
Technical efficiency = 0.709
Scale efficiency
= 0.450
(drs)

PROJECTION SUMMARY:

variable
original
radial
slack
projected

value
movement
movement
value

output
1
7326.380
0.000
0.000
7326.380

output
2
119.910

0.000
0.000
119.910

input
1
15427.000
-4496.010
0.000
10930.990

input
2
5257.970
-1532.371
-1643.828
2081.771
第八个样本的具体分析如下：
纯技术效率=0.709；规模效率=0.450
(drs)：规模报酬应该递减
第三个样本的投入产出情况分析：
第一、二产出均没有冗余情况(因为其 radial movement 和 slack movement 均为零)
第一个投入要素有投入冗余4496.010；第二投入要素有投入冗余3176.199=1532.371+1643.828
这个意思是说按第三个样本现在的产出冗余第一个投入要素可以减少4496.010，第二个投入要素可以减少3176.199

是否可以解释如下的1,2,3的样本呢？谢谢。而且是否可以说明在写论文中的时候到底应该写出那些数据呢？
Results for firm:
1
Technical efficiency = 0.381
Scale efficiency
= 0.994
(irs)

PROJECTION SUMMARY:

variable
original
radial
slack
projected

value
movement
movement
value

output
1
235.860
0.000
0.000
235.860

output
2
3.760
0.000
6.995
10.755

input
1
777.000
-480.651
0.000
296.349

input
2
132.550
-81.995
0.000
50.555

Results for firm:
2
Technical efficiency = 1.000
Scale efficiency
= 0.814
(drs)

PROJECTION SUMMARY:

variable
original
radial
slack
projected

value
movement
movement
value

output
1
8026.970
0.000
0.000
8026.970

output
2
76.430
0.000
0.000
76.430

input
1
10638.000

0.000
0.000
10638.000

input
2
2148.570
0.000
0.000
2148.570

LISTING OF PEERS:

peer
lambda weight

2
1.000


Results for firm:
3
Technical efficiency = 0.709
Scale efficiency
= 0.450
(drs)

PROJECTION SUMMARY:

variable
original
radial
slack
projected

value
movement
movement
value

output
1
7326.380
0.000
0.000
7326.380

output
2
119.910
0.000
0.000
119.910

input
1
15427.000
-4496.010
0.000
10930.990

input
2
5257.970
-1532.371
-1643.828
2081.771

LISTING OF PEERS:

peer
lambda weight

4
0.352

1
0.062

2
0.586




Results for firm:
4
Technical efficiency = 1.000
Scale efficiency
= 1.000
(crs)

PROJECTION SUMMARY:

variable
original
radial
slack
projected

value
movement
movement
value

output
1
474.280
0.000
0.000
474.280

output
2
133.720
0.000
0.000
133.720

input
1
898.000
0.000
0.000
898.000

input
2
167.250
0.000
0.000
167.250

LISTING OF PEERS:

peer
lambda weight

4
1.000