Phil Ender's -anovacontrast- commands gets the same contrasts _except_  
for the desired one:
anova nnn round size
                           Number of obs =      22     R-squared      
=  0.7465
                           Root MSE      = .082094     Adj R-squared  
=  0.6673
                  Source |  Partial SS    df       MS           F      
Prob > F
              ----------- 
+----------------------------------------------------
                   Model |  .317523495     5  .063504699        
9.42     0.0002
                         |
                   round |   .15988107     4  .039970267        
5.93     0.0040
                    size |   .15876267     1   .15876267       
23.56     0.0002
                         |
                Residual |  .107829606    16   .00673935
              ----------- 
+----------------------------------------------------
                   Total |  .425353101    21   .02025491
anovacontrast round, values(-1 1 0 0 0)
Contrast variable: round (-1 1 0 0 0) Dep Var: nnn
source           SS          df      MS        Contrast =    -0.01
---------+---------------------------------    N of obs =       22
contrast | .000060166         1      0.0001    F        =     0.01
error    | .107829606        16      0.0067    Prob > F =   0.9259
---------+---------------------------------    t        =     0.09
anovacontrast round, values(-1 0 1 0 0)
Contrast variable: round (-1 0 1 0 0) Dep Var: nnn
source           SS          df      MS        Contrast =     0.49
---------+---------------------------------    N of obs =       22
contrast | .345744034         1      0.3457    F        =    51.30
error    | .107829606        16      0.0067    Prob > F =   0.0000
---------+---------------------------------    t        =     7.16
anovacontrast round, values(-1 0 0 1 0)
Contrast variable: round (-1 0 0 1 0) Dep Var: nnn
source           SS          df      MS        Contrast =     0.04
---------+---------------------------------    N of obs =       22
contrast | .004915206         1      0.0049    F        =     0.73
error    | .107829606        16      0.0067    Prob > F =   0.4057
---------+---------------------------------    t        =     0.85
anovacontrast round, values(-1 0 0 0 1)
Contrast variable: round (-1 0 0 0 1) Dep Var: nnn
source           SS          df      MS        Contrast =     0.18
---------+---------------------------------    N of obs =       22
contrast | .087318113         1      0.0873    F        =    12.96
error    | .107829606        16      0.0067    Prob > F =   0.0024
---------+---------------------------------    t        =     3.60
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