求助:带解释矩阵的GARCH

程序:
spec=garchset('variancemodel','GARCH','M',3,'R',4,'P',12,'Q',3);
[coeffx,errorsx]=garchfit(spec,y,X);
per=6
[sigmaForecast,meanForecast]=garchpred(spec,y,per,X,XF)
spec=garchset('variancemodel','GARCH','M',3,'R',4,'P',12,'Q',3);
spec = garchset(spec,'Display','off','Distribution','T');
[coeffX,errorsX,LLFX,innovationsX,sigmasX] = garchfit(spec,y,X);
garchdisp(coeffX,errorsX)

NumPeriods = 6;
[sigmaForecast,meanForecast] = garchpred(coeffX,y,NumPeriods,X,XF);
提示:
??? Error using ==> garchpred
Number of 'Regress' coefficients unequal to number of regressors in 'X'.

明明是一样的啊,救命啊.

已经解决了，谢谢大家。

[m,n]=size(Data) %[1100,6]
X= Data(1:1000,1:5);
y= Data(1:1000,6);
spec = garchset('VarianceModel','GARCH','P',1,'Q',1);
spec = garchset(spec,'Display','off','Distribution','T');
[coeffX,errorsX,LLFX,innovationsX,sigmasX] = garchfit(spec,y,X);
garchdisp(coeffX,errorsX)
XF=p(1001:1100,1:5);
NumPeriods = 100;
[sigmaForecast,meanForecast] = garchpred(coeffX,y,NumPeriods,X,XF);