Probador(Bloque)Proceso(Factor A)Porcentaje Harina de Haba(Factor B)

30405060

1G90948381

2G81868291

3G92998282

4G94949493

5G80919077

6G63908687

7G77906966

8G90808091

9G75757575

10G77906966

1F87879093

2F85848284

3F85929493

4F919310094

5F86859190

6F90898684

7F86717569

8F56939196

9F70806570

10F86717569

options ls=76 ps=56; data dbca_f; input pan proce$ hh pref; cards; 1 g 30 90 1 g 40 94 1 g 50 83 1 g 60 81 1 f 30 87 1 f 40 87 1 f 50 90 1 f 60 93 2 g 30 81 2 g 40 86 2 g 50 82 2 g 60 91 2 f 30 85 2 f 40 84 2 f 50 82 2 f 60 84 3 g 30 92 3 g 40 99 3 g 50 82 3 g 60 82 3 f 30 85 3 f 40 92 3 f 50 94 3 f 60 93 4 g 30 94 4 g 40 94 4 g 50 94 4 g 60 93 4 f 30 91 4 f 40 93 4 f 50 100 4 f 60 94 5 g 30 80 5 g 40 91 5 g 50 90 5 g 60 77 5 f 30 86 5 f 40 85 5 f 50 91 5 f 60 90 6 g 30 63 6 g 40 90 6 g 50 86 6 g 60 87 6 f 30 90 6 f 40 89 6 f 50 86 6 f 60 84 7 g 30 77 7 g 40 90 7 g 50 69 7 g 60 66 7 f 30 86 7 f 40 71 7 f 50 75 7 f 60 69 8 g 30 90 8 g 40 80 8 g 50 80 8 g 60 91 8 f 30 56 8 f 40 93 8 f 50 91 8 f 60 96 9 g 30 75 9 g 40 75 9 g 50 75 9 g 60 75 9 f 30 70 9 f 40 80 9 f 50 65 9 f 60 70 10 g 30 77 10 g 40 90 10 g 50 69 10 g 60 66 10 f 30 86 10 f 40 71 10 f 50 75 10 f 60 69 ; proc mixed; class pan proce hh; model pref=proce hh proce*hh/ddfm=satterth; random pan; lsmeans proce/pdiff; lsmeans hh; contrast 'n-lineal' hh -3 -1 1 3; contrast 'n-cuadra' hh 1 -1 -1 1; run;

The SAS System 5 07:40 Thursday, April 1, 2004

The Mixed Procedure

Model Information

Data Set WORK.DBCA_F Dependent Variable pref Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite

Class Level Information

Class Levels Values

pan 10 1 2 3 4 5 6 7 8 9 10 proce 2 f g hh 4 30 40 50 60

Dimensions

Covariance Parameters 2 Columns in X 15 Columns in Z 10 Subjects 1 Max Obs Per Subject 80 Observations Used 80 Observations Not Used 0 Total Observations 80

Iteration History

Iteration Evaluations -2 Res Log Like Criterion

0 1 547.36799405 1 1 522.37150477 0.00000000

Convergence criteria met.

Covariance Parameter Estimates

Cov Parm Estimate

pan 40.9865 Residual 49.8093

The SAS System 6 07:40 Thursday, April 1, 2004

The Mixed Procedure

Fit Statistics

-2 Res Log Likelihood 522.4 AIC (smaller is better) 526.4 AICC (smaller is better) 526.5 BIC (smaller is better) 527.0

Type 3 Tests of Fixed Effects

Num Den Effect DF DF F Value Pr > F

proce 1 63 0.24 0.6251 hh 3 63 1.81 0.1542 proce*hh 3 63 1.44 0.2385

Contrasts

Num Den Label DF DF F Value Pr > F

n-lineal 1 63 0.10 0.7509 n-cuadra 1 63 2.56 0.1146

Least Squares Means

StandardEffect proce hh Estimate Error DF t Value Pr > |t|

proce f 83.9500 2.3117 11.5 36.32