tioned. Add points with distinct XР values, reduce the degree of the polynomial, or try centeringР and scaling as described in HELP POLYFIT.Р> In polyfit at 80РA3 =Р -0.0000 0.0006 -0.9475 464.9601Р>> z3=polyval(A3,x1);Р>> plot(x,h,'*',x1,z3,'b')Р7、第二阶段四次多项式拟合函数以及拟合效果程序与结果:РA4=polyfit(x1,h1,4)РWarning: Polynomial is badly conditioned. Add points with distinct XР values, reduce the degree of the polynomial, or try centeringР and scaling as described in HELP POLYFIT.Р> In polyfit at 80РA4 =Р -0.0000 0.0000 -0.0013 1.1219 -354.5952Р>> z4=polyval(A4,x1);Р>> plot(x1,h1,'k*',x1,z4,'r:')Р【参考文献】Р【1】韩中庚,数学建模方法及其应用,北京,解放军信息工程程大学,2005年6月,第一版。Р【2】盛祥耀,《高等数学》,北京,高等教育出版社,1992年8月,第一版。Р【3】张卓.SAS软件的应用,基于ARMA模型的商品销售额的预测分析,2005Р【4】刘娜,在SAS中拟合ARCH/GARCH模型,2005