The SAS System 1 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Diagonal Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Residual Dimensions Covariance Parameters 1 Columns in X 2 Columns in Z 0 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Covariance Parameter Estimates Cov Parm Estimate Alpha Lower Upper Residual 4.3428 0.05 3.7986 5.0136 Fit Statistics -2 Log Likelihood 1722.6 AIC (smaller is better) 1728.6 AICC (smaller is better) 1728.6 BIC (smaller is better) 1740.5 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 5.5639 0.1042 398 53.40 <.0001 cprice 0.09871 0.05279 398 1.87 0.0622 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 398 3.50 0.0622 The SAS System 2 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Diagonal Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Residual Class Level Information Class Levels Values color 2 1 2 Dimensions Covariance Parameters 1 Columns in X 3 Columns in Z 0 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Covariance Parameter Estimates Cov Parm Estimate Alpha Lower Upper Residual 4.3617 0.05 3.8151 5.0354 Fit Statistics -2 Log Likelihood 1724.3 AIC (smaller is better) 1730.3 AICC (smaller is better) 1730.4 BIC (smaller is better) 1742.3 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.4227 0.1499 398 36.16 <.0001 color 1 0.2763 0.2089 398 1.32 0.1867 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F color 1 398 1.75 0.1867 The SAS System 3 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Diagonal Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Residual Class Level Information Class Levels Values color 2 1 2 type 2 1 2 Dimensions Covariance Parameters 1 Columns in X 7 Columns in Z 0 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Covariance Parameter Estimates Cov Parm Estimate Alpha Lower Upper Residual 4.3569 0.05 3.8110 5.0299 Fit Statistics -2 Log Likelihood 1723.9 AIC (smaller is better) 1733.9 AICC (smaller is better) 1734.0 BIC (smaller is better) 1753.8 Solution for Fixed Effects Standard Effect color type Estimate Error DF t Value Pr > |t| Intercept 5.5146 0.2057 396 26.81 <.0001 color 1 0.1997 0.2895 396 0.69 0.4906 color 2 0 . . . . type(color) 1 1 -0.03112 0.2909 396 -0.11 0.9149 type(color) 1 2 0 . . . . type(color) 2 1 -0.1959 0.3003 396 -0.65 0.5146 type(color) 2 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F color 1 396 1.82 0.1780 type(color) 2 396 0.22 0.8039 The SAS System 4 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Diagonal Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Residual Class Level Information Class Levels Values color 2 1 2 Dimensions Covariance Parameters 1 Columns in X 4 Columns in Z 0 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Covariance Parameter Estimates Cov Parm Estimate Alpha Lower Upper Residual 4.2937 0.05 3.7557 4.9569 Fit Statistics -2 Log Likelihood 1718.0 AIC (smaller is better) 1726.0 AICC (smaller is better) 1726.1 BIC (smaller is better) 1742.0 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.3192 0.1543 397 34.46 <.0001 cprice 0.1413 0.05614 397 2.52 0.0122 color 1 0.4741 0.2217 397 2.14 0.0331 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 397 6.33 0.0122 color 1 397 4.57 0.0331 The SAS System 5 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Diagonal Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Residual Class Level Information Class Levels Values color 2 1 2 type 2 1 2 Dimensions Covariance Parameters 1 Columns in X 8 Columns in Z 0 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Covariance Parameter Estimates Cov Parm Estimate Alpha Lower Upper Residual 4.2641 0.05 3.7297 4.9227 Fit Statistics -2 Log Likelihood 1715.2 AIC (smaller is better) 1727.2 AICC (smaller is better) 1727.5 BIC (smaller is better) 1751.2 Solution for Fixed Effects Standard Effect color type Estimate Error DF t Value Pr > |t| Intercept 5.0450 0.2583 395 19.53 <.0001 cprice 0.2217 0.07511 395 2.95 0.0034 color 1 1.0234 0.3999 395 2.56 0.0109 color 2 0 . . . . type(color) 1 1 -0.4513 0.3211 395 -1.41 0.1606 type(color) 1 2 0 . . . . type(color) 2 1 0.4592 0.3708 395 1.24 0.2163 type(color) 2 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 395 8.71 0.0034 color 1 395 6.19 0.0133 type(color) 2 395 1.39 0.2502 The SAS System 6 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 2 Columns in X 4 Columns in Z 20 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 2 1709.22242541 0.00000001 2 1 1709.22241984 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower brand(color*type) 0.2620 0.1462 1.79 0.0365 0.05 0.1114 Residual 4.0292 0.2922 13.79 <.0001 0.05 3.5127 Covariance Parameter Estimates Cov Parm Upper brand(color*type) 1.1816 Residual 4.6693 Fit Statistics -2 Log Likelihood 1709.2 AIC (smaller is better) 1719.2 AICC (smaller is better) 1719.4 BIC (smaller is better) 1724.2 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.3167 0.2239 21.2 23.75 <.0001 cprice 0.1420 0.08226 20.5 1.73 0.0994 color 1 0.4625 0.3234 20.8 1.43 0.1676 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 20.5 2.98 0.0994 color 1 20.8 2.05 0.1676 The SAS System 7 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Unstructured Subject Effect brand(color*type) Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 2 Columns in X 4 Columns in Z Per Subject 1 Subjects 20 Max Obs Per Subject 23 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 2 1709.22242541 0.00000001 2 1 1709.22241984 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Subject Estimate Error Value Pr > Z Alpha UN(1,1) brand(color*type) 0.2620 0.1462 1.79 0.0365 0.05 Residual 4.0292 0.2922 13.79 <.0001 0.05 Covariance Parameter Estimates Cov Parm Subject Lower Upper UN(1,1) brand(color*type) 0.1114 1.1816 Residual 3.5127 4.6693 Fit Statistics -2 Log Likelihood 1709.2 AIC (smaller is better) 1719.2 AICC (smaller is better) 1719.4 BIC (smaller is better) 1724.2 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 1 8.79 0.0030 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.3167 0.2239 21.2 23.75 <.0001 cprice 0.1420 0.08226 20.5 1.73 0.0994 color 1 0.4625 0.3234 20.8 1.43 0.1676 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 20.5 2.98 0.0994 color 1 20.8 2.05 0.1676 The SAS System 8 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Dimensions Covariance Parameters 2 Columns in X 4 Columns in Z 23 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 3 1693.91665798 0.00000297 2 1 1693.91521140 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower Upper rater 0.4964 0.2082 2.38 0.0085 0.05 0.2515 1.3998 Residual 3.7783 0.2748 13.75 <.0001 0.05 3.2927 4.3805 Fit Statistics -2 Log Likelihood 1693.9 AIC (smaller is better) 1703.9 AICC (smaller is better) 1704.1 BIC (smaller is better) 1709.6 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.2991 0.2086 44.3 25.40 <.0001 cprice 0.1437 0.05276 380 2.72 0.0067 color 1 0.5097 0.2104 387 2.42 0.0159 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 380 7.42 0.0067 color 1 387 5.87 0.0159 The SAS System 9 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 3 Columns in X 4 Columns in Z 43 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 2 1680.33289700 0.00000266 2 1 1680.33162213 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower rater 0.5280 0.2131 2.48 0.0066 0.05 0.2732 brand(color*type) 0.3066 0.1524 2.01 0.0221 0.05 0.1404 Residual 3.4555 0.2580 13.39 <.0001 0.05 3.0007 Covariance Parameter Estimates Cov Parm Upper rater 1.4188 brand(color*type) 1.1141 Residual 4.0227 Fit Statistics -2 Log Likelihood 1680.3 AIC (smaller is better) 1692.3 AICC (smaller is better) 1692.5 BIC (smaller is better) 1699.1 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.2917 0.2749 32.3 19.25 <.0001 cprice 0.1442 0.08368 20.2 1.72 0.1001 color 1 0.4971 0.3301 20.7 1.51 0.1472 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 20.2 2.97 0.1001 color 1 20.7 2.27 0.1472 The SAS System 10 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 3 Columns in X 4 Columns in Z 69 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 3 1683.89980594 0.00005205 2 1 1683.87371204 0.00000044 3 1 1683.87350364 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower rater 0.2110 0.2660 0.79 0.2139 0.05 0.04660 color*rater 0.6265 0.3330 1.88 0.0300 0.05 0.2749 Residual 3.4773 0.2624 13.25 <.0001 0.05 3.0154 Covariance Parameter Estimates Cov Parm Upper rater 55.5297 color*rater 2.5674 Residual 4.0548 Fit Statistics -2 Log Likelihood 1683.9 AIC (smaller is better) 1695.9 AICC (smaller is better) 1696.1 BIC (smaller is better) 1702.7 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.2562 0.2418 43.1 21.73 <.0001 cprice 0.1460 0.05080 357 2.87 0.0043 color 1 0.5776 0.3128 22 1.85 0.0784 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 357 8.26 0.0043 color 1 22 3.41 0.0784 The SAS System 11 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 4 Columns in X 4 Columns in Z 89 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1718.01261199 1 3 1667.05862403 0.00018411 2 2 1666.96531356 0.00000418 3 1 1666.96333203 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower rater 0.2154 0.2732 0.79 0.2152 0.05 0.04733 color*rater 0.6925 0.3405 2.03 0.0210 0.05 0.3193 brand(color*type) 0.3274 0.1545 2.12 0.0170 0.05 0.1548 Residual 3.1149 0.2414 12.90 <.0001 0.05 2.6910 Covariance Parameter Estimates Cov Parm Upper rater 60.1838 color*rater 2.4709 brand(color*type) 1.0928 Residual 3.6479 Fit Statistics -2 Log Likelihood 1667.0 AIC (smaller is better) 1681.0 AICC (smaller is better) 1681.2 BIC (smaller is better) 1688.9 Solution for Fixed Effects Standard Effect color Estimate Error DF t Value Pr > |t| Intercept 5.2430 0.3072 40.1 17.06 <.0001 cprice 0.1461 0.08410 20 1.74 0.0976 color 1 0.5701 0.4155 28 1.37 0.1809 color 2 0 . . . . Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F cprice 1 20 3.02 0.0976 color 1 28 1.88 0.1809 The SAS System 12 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 3 Columns in X 1 Columns in Z 43 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1726.04108631 1 2 1683.94072181 0.00000330 2 1 1683.93912963 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower rater 0.5270 0.2130 2.47 0.0067 0.05 0.2725 brand(color*type) 0.4008 0.1825 2.20 0.0141 0.05 0.1936 Residual 3.4569 0.2582 13.39 <.0001 0.05 3.0018 Covariance Parameter Estimates Cov Parm Upper rater 1.4182 brand(color*type) 1.2674 Residual 4.0245 Fit Statistics -2 Log Likelihood 1683.9 AIC (smaller is better) 1691.9 AICC (smaller is better) 1692.0 BIC (smaller is better) 1696.5 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 5.5428 0.2281 31.1 24.30 <.0001 The SAS System 13 16:53 Wednesday, January 26, 2011 The Mixed Procedure Model Information Data Set WORK.TWO Dependent Variable score Covariance Structure Variance Components Estimation Method ML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values color 2 1 2 type 2 1 2 rater 23 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 brand 20 Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle Dimensions Covariance Parameters 4 Columns in X 1 Columns in Z 89 Subjects 1 Max Obs Per Subject 460 Number of Observations Number of Observations Read 460 Number of Observations Used 400 Number of Observations Not Used 60 Iteration History Iteration Evaluations -2 Log Like Criterion 0 1 1726.04108631 1 3 1670.67560137 0.00017917 2 2 1670.58433538 0.00000420 3 1 1670.58233874 0.00000000 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower rater 0.2076 0.2751 0.75 0.2253 0.05 0.04383 color*rater 0.7045 0.3491 2.02 0.0218 0.05 0.3232 brand(color*type) 0.4156 0.1843 2.25 0.0121 0.05 0.2039 Residual 3.1169 0.2417 12.90 <.0001 0.05 2.6926 Covariance Parameter Estimates Cov Parm Upper rater 94.4427 color*rater 2.5459 brand(color*type) 1.2648 Residual 3.6505 Fit Statistics -2 Log Likelihood 1670.6 AIC (smaller is better) 1680.6 AICC (smaller is better) 1680.7 BIC (smaller is better) 1686.3 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 5.5322 0.2320 31.8 23.85 <.0001 Solution for Random Effects Effect brand color type rater Estimate rater 1 0.01967 rater 2 -0.2124 rater 3 -0.2704 rater 4 -0.05285 rater 5 -0.1052 rater 6 0.1212 rater 7 -0.2205 rater 8 0.03255 rater 9 -0.1979 rater 10 0.05135 rater 11 -0.1689 rater 12 -0.03835 rater 13 -0.06735 rater 14 0.2797 rater 15 -0.05043 rater 16 0.1937 rater 17 0.4838 rater 18 0.4117 rater 19 -0.00934 rater 20 -0.1353 rater 21 -0.4299 rater 22 -0.1477 rater 23 0.5128 color*rater 1 1 -0.09679 color*rater 1 2 -0.4905 color*rater 1 3 -0.4503 color*rater 1 4 -0.5318 color*rater 1 5 -0.3569 color*rater 1 6 0.2488 color*rater 1 7 0.4536 color*rater 1 8 0.4229 color*rater 1 9 -0.2926 color*rater 1 10 -0.7427 color*rater 1 11 0.1726 color*rater 1 12 -0.1952 color*rater 1 13 -0.5218 color*rater 1 14 -0.00065 color*rater 1 15 0.3453 color*rater 1 16 0.4065 color*rater 1 17 0.6907 color*rater 1 18 0.2577 color*rater 1 19 0.6859 color*rater 1 20 0.8824 color*rater 1 21 0.006912 color*rater 1 22 -0.2852 color*rater 1 23 0.8786 color*rater 2 1 0.1635 color*rater 2 2 -0.2302 color*rater 2 3 -0.4673 color*rater 2 4 0.3525 color*rater 2 5 0 color*rater 2 6 0.1625 color*rater 2 7 -1.2020 color*rater 2 8 -0.3124 color*rater 2 9 -0.3789 color*rater 2 10 0.9170 color*rater 2 11 -0.7457 color*rater 2 12 0.06509 color*rater 2 13 0.2932 color*rater 2 14 0.9499 color*rater 2 15 -0.5165 color*rater 2 16 0.2509 color*rater 2 17 0.9510 color*rater 2 18 1.1396 color*rater 2 19 -0.7176 color*rater 2 20 -1.3417 color*rater 2 21 -1.4659 color*rater 2 22 -0.2159 color*rater 2 23 0.8616 brand(color*type) Anakena 1 1 0.04460 brand(color*type) Dallas Conte 1 1 0.6601 brand(color*type) Febus 1 1 -0.9791 brand(color*type) Santa Maria 1 1 0.1760 brand(color*type) casa lapastolle 1 1 0.5018 brand(color*type) Columbia Crest 1 2 -0.1268 brand(color*type) Fetzer 1 2 0.4687 brand(color*type) Maple ridge 1 2 0.2899 brand(color*type) Steel Creek 1 2 -0.2735 brand(color*type) Washington Hills 1 2 0.1159 brand(color*type) Barbarana Dragon 2 1 -0.3155 brand(color*type) Barbarana Vina Allarde 2 1 0.6724 brand(color*type) Campo viejo 2 1 -0.2131 brand(color*type) Castillo D Cavino 2 1 -0.4302 brand(color*type) Montecillo 2 1 -0.5788 brand(color*type) Atlas Peak 2 2 -0.1202 brand(color*type) Bridgman 2 2 0.3376 brand(color*type) Flora Springs 2 2 0.4974 brand(color*type) Rabbit Ridge 2 2 -1.3460 brand(color*type) Sobon estates 2 2 0.6189 Solution for Random Effects Std Err Effect brand color type rater Pred rater 1 0.3875 rater 2 0.3875 rater 3 0.3875 rater 4 0.3875 rater 5 0.4167 rater 6 0.3875 rater 7 0.3951 rater 8 0.3980 rater 9 0.3875 rater 10 0.3883 rater 11 0.3875 rater 12 0.3875 rater 13 0.3875 rater 14 0.3946 rater 15 0.4028 rater 16 0.3875 rater 17 0.3875 rater 18 0.3920 rater 19 0.3875 rater 20 0.4009 rater 21 0.3875 rater 22 0.3914 rater 23 0.3875 color*rater 1 1 0.5477 color*rater 1 2 0.5477 color*rater 1 3 0.5477 color*rater 1 4 0.5477 color*rater 1 5 0.5598 color*rater 1 6 0.5477 color*rater 1 7 0.5853 color*rater 1 8 0.6441 color*rater 1 9 0.5477 color*rater 1 10 0.5481 color*rater 1 11 0.5477 color*rater 1 12 0.5477 color*rater 1 13 0.5477 color*rater 1 14 0.5605 color*rater 1 15 0.6217 color*rater 1 16 0.5477 color*rater 1 17 0.5477 color*rater 1 18 0.6004 color*rater 1 19 0.5477 color*rater 1 20 0.5741 color*rater 1 21 0.5477 color*rater 1 22 0.5842 color*rater 1 23 0.5477 color*rater 2 1 0.5482 color*rater 2 2 0.5482 color*rater 2 3 0.5482 color*rater 2 4 0.5482 color*rater 2 5 0.8393 color*rater 2 6 0.5482 color*rater 2 7 0.6013 color*rater 2 8 0.5733 color*rater 2 9 0.5482 color*rater 2 10 0.5585 color*rater 2 11 0.5482 color*rater 2 12 0.5482 color*rater 2 13 0.5482 color*rater 2 14 0.6203 color*rater 2 15 0.6453 color*rater 2 16 0.5482 color*rater 2 17 0.5482 color*rater 2 18 0.5500 color*rater 2 19 0.5482 color*rater 2 20 0.6740 color*rater 2 21 0.5482 color*rater 2 22 0.5597 color*rater 2 23 0.5482 brand(color*type) Anakena 1 1 0.3668 brand(color*type) Dallas Conte 1 1 0.3572 brand(color*type) Febus 1 1 0.3720 brand(color*type) Santa Maria 1 1 0.3721 brand(color*type) casa lapastolle 1 1 0.3618 brand(color*type) Columbia Crest 1 2 0.3570 brand(color*type) Fetzer 1 2 0.3618 brand(color*type) Maple ridge 1 2 0.3572 brand(color*type) Steel Creek 1 2 0.3669 brand(color*type) Washington Hills 1 2 0.3667 brand(color*type) Barbarana Dragon 2 1 0.3839 brand(color*type) Barbarana Vina Allarde 2 1 0.3667 brand(color*type) Campo viejo 2 1 0.3775 brand(color*type) Castillo D Cavino 2 1 0.3720 brand(color*type) Montecillo 2 1 0.3835 brand(color*type) Atlas Peak 2 2 0.3666 brand(color*type) Bridgman 2 2 0.3720 brand(color*type) Flora Springs 2 2 0.3573 brand(color*type) Rabbit Ridge 2 2 0.3619 brand(color*type) Sobon estates 2 2 0.3619 Solution for Random Effects Effect brand color type rater DF t Value rater 1 2.4 0.05 rater 2 2.4 -0.55 rater 3 2.4 -0.70 rater 4 2.4 -0.14 rater 5 1.72 -0.25 rater 6 2.4 0.31 rater 7 2.17 -0.56 rater 8 2.09 0.08 rater 9 2.4 -0.51 rater 10 2.38 0.13 rater 11 2.4 -0.44 rater 12 2.4 -0.10 rater 13 2.4 -0.17 rater 14 2.19 0.71 rater 15 1.97 -0.13 rater 16 2.4 0.50 rater 17 2.4 1.25 rater 18 2.26 1.05 rater 19 2.4 -0.02 rater 20 2.02 -0.34 rater 21 2.4 -1.11 rater 22 2.28 -0.38 rater 23 2.4 1.32 color*rater 1 1 51.4 -0.18 color*rater 1 2 51.4 -0.90 color*rater 1 3 51.4 -0.82 color*rater 1 4 51.4 -0.97 color*rater 1 5 37 -0.64 color*rater 1 6 51.4 0.45 color*rater 1 7 49.8 0.78 color*rater 1 8 30.4 0.66 color*rater 1 9 51.4 -0.53 color*rater 1 10 51.2 -1.36 color*rater 1 11 51.4 0.32 color*rater 1 12 51.4 -0.36 color*rater 1 13 51.4 -0.95 color*rater 1 14 51.4 -0.00 color*rater 1 15 38.7 0.56 color*rater 1 16 51.4 0.74 color*rater 1 17 51.4 1.26 color*rater 1 18 44.1 0.43 color*rater 1 19 51.4 1.25 color*rater 1 20 51.1 1.54 color*rater 1 21 51.4 0.01 color*rater 1 22 49.4 -0.49 color*rater 1 23 51.4 1.60 color*rater 2 1 51.4 0.30 color*rater 2 2 51.4 -0.42 color*rater 2 3 51.4 -0.85 color*rater 2 4 51.4 0.64 color*rater 2 5 8.15 0.00 color*rater 2 6 51.4 0.30 color*rater 2 7 44.6 -2.00 color*rater 2 8 51.5 -0.54 color*rater 2 9 51.4 -0.69 color*rater 2 10 52.7 1.64 color*rater 2 11 51.4 -1.36 color*rater 2 12 51.4 0.12 color*rater 2 13 51.4 0.53 color*rater 2 14 37.5 1.53 color*rater 2 15 30.8 -0.80 color*rater 2 16 51.4 0.46 color*rater 2 17 51.4 1.73 color*rater 2 18 50 2.07 color*rater 2 19 51.4 -1.31 color*rater 2 20 23.4 -1.99 color*rater 2 21 51.4 -2.67 color*rater 2 22 52.2 -0.39 color*rater 2 23 51.4 1.57 brand(color*type) Anakena 1 1 59.3 0.12 brand(color*type) Dallas Conte 1 1 61.5 1.85 brand(color*type) Febus 1 1 58 -2.63 brand(color*type) Santa Maria 1 1 58 0.47 brand(color*type) casa lapastolle 1 1 60.5 1.39 brand(color*type) Columbia Crest 1 2 61.5 -0.36 brand(color*type) Fetzer 1 2 60.5 1.30 brand(color*type) Maple ridge 1 2 61.6 0.81 brand(color*type) Steel Creek 1 2 59.3 -0.75 brand(color*type) Washington Hills 1 2 59.3 0.32 brand(color*type) Barbarana Dragon 2 1 55.2 -0.82 brand(color*type) Barbarana Vina Allarde 2 1 59.5 1.83 brand(color*type) Campo viejo 2 1 56.8 -0.56 brand(color*type) Castillo D Cavino 2 1 58.2 -1.16 brand(color*type) Montecillo 2 1 55.2 -1.51 brand(color*type) Atlas Peak 2 2 59.5 -0.33 brand(color*type) Bridgman 2 2 58.2 0.91 brand(color*type) Flora Springs 2 2 61.8 1.39 brand(color*type) Rabbit Ridge 2 2 60.7 -3.72 brand(color*type) Sobon estates 2 2 60.7 1.71 Solution for Random Effects Effect brand color type rater Pr > |t| rater 1 0.9634 rater 2 0.6303 rater 3 0.5467 rater 4 0.9021 rater 5 0.8276 rater 6 0.7796 rater 7 0.6291 rater 8 0.9420 rater 9 0.6527 rater 10 0.9052 rater 11 0.6991 rater 12 0.9288 rater 13 0.8756 rater 14 0.5464 rater 15 0.9120 rater 16 0.6592 rater 17 0.3197 rater 18 0.3927 rater 19 0.9826 rater 20 0.7676 rater 21 0.3658 rater 22 0.7383 rater 23 0.2975 color*rater 1 1 0.8604 color*rater 1 2 0.3747 color*rater 1 3 0.4148 color*rater 1 4 0.3361 color*rater 1 5 0.5277 color*rater 1 6 0.6516 color*rater 1 7 0.4420 color*rater 1 8 0.5164 color*rater 1 9 0.5955 color*rater 1 10 0.1813 color*rater 1 11 0.7540 color*rater 1 12 0.7230 color*rater 1 13 0.3453 color*rater 1 14 0.9991 color*rater 1 15 0.5818 color*rater 1 16 0.4614 color*rater 1 17 0.2130 color*rater 1 18 0.6698 color*rater 1 19 0.2161 color*rater 1 20 0.1304 color*rater 1 21 0.9900 color*rater 1 22 0.6276 color*rater 1 23 0.1148 color*rater 2 1 0.7667 color*rater 2 2 0.6763 color*rater 2 3 0.3979 color*rater 2 4 0.5231 color*rater 2 5 1.0000 color*rater 2 6 0.7681 color*rater 2 7 0.0517 color*rater 2 8 0.5882 color*rater 2 9 0.4925 color*rater 2 10 0.1066 color*rater 2 11 0.1797 color*rater 2 12 0.9059 color*rater 2 13 0.5951 color*rater 2 14 0.1341 color*rater 2 15 0.4296 color*rater 2 16 0.6492 color*rater 2 17 0.0888 color*rater 2 18 0.0434 color*rater 2 19 0.1963 color*rater 2 20 0.0583 color*rater 2 21 0.0100 color*rater 2 22 0.7012 color*rater 2 23 0.1222 brand(color*type) Anakena 1 1 0.9036 brand(color*type) Dallas Conte 1 1 0.0694 brand(color*type) Febus 1 1 0.0109 brand(color*type) Santa Maria 1 1 0.6380 brand(color*type) casa lapastolle 1 1 0.1706 brand(color*type) Columbia Crest 1 2 0.7237 brand(color*type) Fetzer 1 2 0.2001 brand(color*type) Maple ridge 1 2 0.4202 brand(color*type) Steel Creek 1 2 0.4589 brand(color*type) Washington Hills 1 2 0.7532 brand(color*type) Barbarana Dragon 2 1 0.4147 brand(color*type) Barbarana Vina Allarde 2 1 0.0717 brand(color*type) Campo viejo 2 1 0.5746 brand(color*type) Castillo D Cavino 2 1 0.2523 brand(color*type) Montecillo 2 1 0.1369 brand(color*type) Atlas Peak 2 2 0.7442 brand(color*type) Bridgman 2 2 0.3679 brand(color*type) Flora Springs 2 2 0.1688 brand(color*type) Rabbit Ridge 2 2 0.0004 brand(color*type) Sobon estates 2 2 0.0923