General Linear Models Procedure
Class Level Information
Class    Levels    Values
BLOCK         2    1 2
VAR           2    1 2
FERT          4    1 2 3 4
Number of observations in data set = 16
General Linear Models Procedure
Dependent Variable: YIELD   
                                   Sum of          Mean
Source                  DF        Squares        Square   F Value     Pr > F
Model                   11     182.020000     16.547273      7.85     0.0306
Error                    4       8.430000      2.107500
Corrected Total         15     190.450000
                  R-Square           C.V.      Root MSE           YIELD Mean
                  0.955736       3.609007       1.45172              40.2250
Source                  DF      Type I SS   Mean Square   F Value     Pr > F
BLOCK                    1     131.102500    131.102500     62.21     0.0014
FERT                     3      40.190000     13.396667      6.36     0.0530
BLOCK*FERT               3       6.927500      2.309167      1.10     0.4476
VAR                      1       2.250000      2.250000      1.07     0.3599
VAR*FERT                 3       1.550000      0.516667      0.25     0.8612
Source                  DF    Type III SS   Mean Square   F Value     Pr > F
BLOCK                    1     131.102500    131.102500     62.21     0.0014
FERT                     3      40.190000     13.396667      6.36     0.0530
BLOCK*FERT               3       6.927500      2.309167      1.10     0.4476
VAR                      1       2.250000      2.250000      1.07     0.3599
VAR*FERT                 3       1.550000      0.516667      0.25     0.8612
General Linear Models Procedure
Source       Type III Expected Mean Square
BLOCK        Var(Error) + 2 Var(BLOCK*FERT) + 8 Var(BLOCK)
FERT         Var(Error) + 2 Var(BLOCK*FERT) + Q(FERT,VAR*FERT)
BLOCK*FERT   Var(Error) + 2 Var(BLOCK*FERT)
VAR          Var(Error) + Q(VAR,VAR*FERT)
VAR*FERT     Var(Error) + Q(VAR*FERT)
General Linear Models Procedure
Least Squares Means
Standard Errors and Probabilities calculated using the Type III MS for 
BLOCK*FERT as an Error term
FERT         YIELD       Std Err     Pr > |T|   LSMEAN
            LSMEAN        LSMEAN   H0:LSMEAN=0   Number
1       38.8000000     0.7597971        0.0001     1
2       39.8000000     0.7597971        0.0001     2
3       39.4000000     0.7597971        0.0001     3
4       42.9000000     0.7597971        0.0001     4
Pr > |T| H0: LSMEAN(i)=LSMEAN(j)
   i/j     1       2       3       4
   1   .      0.4207  0.6155  0.0317
   2  0.4207   .      0.7344  0.0633
   3  0.6155  0.7344   .      0.0472
   4  0.0317  0.0633  0.0472   .    
NOTE: To ensure overall protection level, only probabilities associated 
      with pre-planned comparisons should be used.
General Linear Models Procedure
Least Squares Means
VAR         YIELD       Std Err     Pr > |T|      Pr > |T| H0:
           LSMEAN        LSMEAN   H0:LSMEAN=0   LSMEAN1=LSMEAN2
1      39.8500000     0.5132616        0.0001        0.3599
2      40.6000000     0.5132616        0.0001
VAR   FERT         YIELD       Std Err     Pr > |T|   LSMEAN
                  LSMEAN        LSMEAN   H0:LSMEAN=0   Number
1     1       38.5000000     1.0265233        0.0001     1
1     2       39.7000000     1.0265233        0.0001     2
1     3       39.2000000     1.0265233        0.0001     3
1     4       42.0000000     1.0265233        0.0001     4
2     1       39.1000000     1.0265233        0.0001     5
2     2       39.9000000     1.0265233        0.0001     6
2     3       39.6000000     1.0265233        0.0001     7
2     4       43.8000000     1.0265233        0.0001     8
Pr > |T| H0: LSMEAN(i)=LSMEAN(j)
   i/j     1       2       3       4       5       6       7       8
   1   .      0.4549  0.6549  0.0735  0.7006  0.3895  0.4908  0.0218
   2  0.4549   .      0.7479  0.1883  0.7006  0.8971  0.9484  0.0476
   3  0.6549  0.7479   .      0.1260  0.9484  0.6549  0.7966  0.0339
   4  0.0735  0.1883  0.1260   .      0.1164  0.2216  0.1736  0.2828
   5  0.7006  0.7006  0.9484  0.1164   .      0.6109  0.7479  0.0317
   6  0.3895  0.8971  0.6549  0.2216  0.6109   .      0.8464  0.0549
   7  0.4908  0.9484  0.7966  0.1736  0.7479  0.8464   .      0.0444
   8  0.0218  0.0476  0.0339  0.2828  0.0317  0.0549  0.0444   .    
NOTE: To ensure overall protection level, only probabilities associated 
      with pre-planned comparisons should be used.
General Linear Models Procedure
Dependent Variable: YIELD   
Tests of Hypotheses using the Type III MS for BLOCK*FERT as an error term
Source                  DF    Type III SS   Mean Square   F Value     Pr > F
BLOCK                    1     131.102500    131.102500     56.77     0.0048
FERT                     3      40.190000     13.396667      5.80     0.0914
                            The MIXED Procedure    
                          Class Level Information  
                         Class     Levels  Values  
                         BLOCK          2  1 2     
                         VAR            2  1 2     
                         FERT           4  1 2 3 4 
                            The MIXED Procedure                
                     REML Estimation Iteration History         
             Iteration  Evaluations     Objective     Criterion
                     0            1   36.80366394              
                     1            1   23.91382668    0.00000000
Convergence criteria met.
                            The MIXED Procedure                           
                   Covariance Parameter Estimates (REML)                  
  Cov Parm             Ratio      Estimate     Std Error       Z  Pr > |Z|
  BLOCK           7.63898774   16.09916667   23.17706499    0.69    0.4873
  BLOCK*FERT      0.04784500    0.10083333    1.20162514    0.08    0.9331
  Residual        1.00000000    2.10750000    1.49022754    1.41    0.1573
                            The MIXED Procedure           
                    Model Fitting Information for YIELD   
                  Description                        Value
                  Observations                     16.0000
                  Variance Estimate                 2.1075
                  Standard Deviation Estimate       1.4517
                  REML Log Likelihood             -19.3084
                  Akaike's Information Criterion  -22.3084
                  Schwarz's Bayesian Criterion    -22.4276
                  -2 REML Log Likelihood           38.6168
                            The MIXED Procedure           
                          Tests of Fixed Effects          
                 Source      NDF   DDF  Type III F  Pr > F
                 FERT          3     3        5.80  0.0914
                 VAR           1     4        1.07  0.3599
                 VAR*FERT      3     4        0.25  0.8612
                            The MIXED Procedure                        
                            Least Squares Means                        
    Level                  LSMEAN     Std Error   DDF       T  Pr > |T|
    FERT 1            38.80000000    2.93715423     4   13.21    0.0002
    FERT 2            39.80000000    2.93715423     4   13.55    0.0002
    FERT 3            39.40000000    2.93715423     4   13.41    0.0002
    FERT 4            42.90000000    2.93715423     4   14.61    0.0001
    VAR 1             39.85000000    2.88541591     4   13.81    0.0002
    VAR 2             40.60000000    2.88541591     4   14.07    0.0001
    VAR*FERT 1 1      38.50000000    3.02551648     4   12.73    0.0002
    VAR*FERT 1 2      39.70000000    3.02551648     4   13.12    0.0002
    VAR*FERT 1 3      39.20000000    3.02551648     4   12.96    0.0002
    VAR*FERT 1 4      42.00000000    3.02551648     4   13.88    0.0002
    VAR*FERT 2 1      39.10000000    3.02551648     4   12.92    0.0002
    VAR*FERT 2 2      39.90000000    3.02551648     4   13.19    0.0002
    VAR*FERT 2 3      39.60000000    3.02551648     4   13.09    0.0002
    VAR*FERT 2 4      43.80000000    3.02551648     4   14.48    0.0001
