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¿Por qué no es RSquare nada? - Resumen de ajuste de modelo

¿Por qué no se calcula RSquare para este modelo?

 

 

Aquí está el guión que me dio el modelo.  ¿Por qué muestra "Mezcla" en lugar de los componentes reales?

Fit Model(
 Y( :FW5% ),
 Effects(
  :FH & Mixture,
  :TotFlow & Mixture,
  :Pch & Mixture,
  :ExFlow & Mixture,
  :FH * :TotFlow,
  :FH * :Pch,
  :TotFlow * :Pch,
  :FH * :ExFlow,
  :TotFlow * :ExFlow,
  :FH * :TotFlow * :ExFlow,
  :TotFlow * :Pch * :ExFlow,
  :ExFlow * :ExFlow,
  :ExFlow * :ExFlow * :ExFlow,
  :FH * :TotFlow * :Pch * :ExFlow,
  :Pch * :ExFlow,
  :FH * :TotFlow * :Pch,
  Scheffe Cubic( :FH, :ExFlow ),
  Scheffe Cubic( :TotFlow, :ExFlow ),
  :FH * :Pch * :ExFlow
 ),
 No Intercept,
 Center Polynomials( 0 ),
 Personality( "Standard Least Squares" ),
 History(
  Effects(
   :FH & Mixture,
   :TotFlow & Mixture,
   :Pch & Mixture,
   :ExFlow & Mixture,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :ExFlow * :ExFlow * :ExFlow,
   :FH * :TotFlow * :Pch * :ExFlow,
   :Pch * :ExFlow,
   Scheffe Cubic( :FH, :TotFlow ),
   Scheffe Cubic( :FH, :Pch ),
   :FH * :TotFlow * :Pch,
   Scheffe Cubic( :TotFlow, :Pch ),
   Scheffe Cubic( :FH, :ExFlow ),
   Scheffe Cubic( :TotFlow, :ExFlow ),
   :FH * :Pch * :ExFlow,
   Scheffe Cubic( :Pch, :ExFlow )
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :ExFlow * :ExFlow * :ExFlow,
   :FH * :TotFlow * :Pch * :ExFlow
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :ExFlow * :ExFlow * :ExFlow
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :ExFlow * :ExFlow * :ExFlow
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :Pch * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :ExFlow * :ExFlow * :ExFlow
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :Pch * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :Pch * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH,
   :FH * :TotFlow * :Pch * :ExFlow
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :Pch * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :FH * :FH
  ),
  Effects(
   :FH,
   :TotFlow,
   :Pch,
   :ExFlow,
   :FH * :TotFlow,
   :FH * :Pch,
   :TotFlow * :Pch,
   :FH * :TotFlow * :Pch,
   :FH * :ExFlow,
   :TotFlow * :ExFlow,
   :FH * :TotFlow * :ExFlow,
   :Pch * :ExFlow,
   :FH * :Pch * :ExFlow,
   :TotFlow * :Pch * :ExFlow,
   :FH * :TotFlow * :Pch * :ExFlow,
   :ExFlow * :ExFlow,
   :Pch * :Pch,
   :FH * :FH
  )
 ),
 Emphasis( "Effect Leverage" ),
 Run(
  :FW5% << {Plot Actual by Predicted( 1 ), Plot Regression( 0 ),
  Plot Residual by Predicted( 1 ), Plot Effect Leverage( 1 )}
 ),
 SendToReport(
  Dispatch(
   {"Response FW5%", "FH", "Leverage Plot"},
   "1",
   ScaleBox,
   {Format( "Fixed Dec", 12, 1 ), Min( -1.22802306518175 ),
   Max( 1.2593984962406 ), Inc( 0.5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "FH", "Leverage Plot"},
   "2",
   ScaleBox,
   {Min( -20 ), Max( 19 ), Inc( 5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "TotFlow", "Leverage Plot"},
   "1",
   ScaleBox,
   {Min( -2.5 ), Max( 2.43421052631579 ), Inc( 1 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "TotFlow", "Leverage Plot"},
   "2",
   ScaleBox,
   {Min( -20 ), Max( 38.5 ), Inc( 5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "Pch", "Leverage Plot"},
   "1",
   ScaleBox,
   {Min( -20 ), Max( 16.0902255639098 ), Inc( 5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "Pch", "Leverage Plot"},
   "2",
   ScaleBox,
   {Min( -20 ), Max( 25.5 ), Inc( 5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "ExFlow", "Leverage Plot"},
   "1",
   ScaleBox,
   {Min( -12.6872632709593 ), Max( 12.218045112782 ), Inc( 2 ),
   Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "ExFlow", "Leverage Plot"},
   "2",
   ScaleBox,
   {Min( -20 ), Max( 28.1 ), Inc( 5 ), Minor Ticks( 1 )}
  ),
  Dispatch(
   {"Response FW5%", "FH*TotFlow", "Leverage Plot"},
   "2",
   ScaleBox,
   {Min( -20 ), Max( 34.6 ), Inc( 5 ), Minor Ticks( 1 )}
  )
 )
)

Re: ¿Por qué no es RSquare nada? - Resumen de ajuste de modelo

Para agregar a la publicación de mi colega y profundizar un poco más, ¿son los factores una mezcla de factores? En otras palabras, ¿se suman a un valor constante (generalmente 1)? Si no, eso también podría estar causando su falta de un valor de RSquare. Al tener activado el atributo "& Mezcla", JMP espera que esos factores se sumen a una constante. Por eso está marcada la casilla "no interceptar". Sin embargo, el modelo sería un modelo de Scheffe, no un verdadero modelo de no intercepción, como señala Mark correctamente (la intersección se incluye con los efectos principales en un modelo de Scheffe). Pero si esos factores NO se suman a una constante, entonces JMP vuelve al modelo de no intercepción y es probable que la causa de que su valor de RSquare no se encuentre.

Re: ¿Por qué no es RSquare nada? - Resumen de ajuste de modelo

R cuadrado es generalmente la relación de la modelo suma de cuadrados al suma total de cuadrados corregida . La suma total de cuadrados corregida se calcula con la respuesta promedio. Esta solo interceptar o modelo reducido Es independiente de cualquier factor de efectos. La plaza R y F La relación en el análisis de varianza se utiliza para comparar el rendimiento y la significación, respectivamente, del modelo completo en comparación con el modelo reducido. El modelo completo debe contiene el modelo reducido (todos sus términos) para que esta comparación sea válida.

Los efectos de los componentes de la mezcla en su modelo completo. incluir el intercepto . Significa que los efectos de los componentes de la mezcla y la intercepción son inseparables. No se incluye un término de intercepción explícito. (Aplicado por el argumento Sin intercepción en su script.) La falta de una intercepción significa que el cuadrado R no existe y que cualquier cálculo que supuestamente dé como resultado R cuadrado no es válido.