最小二乘拟合，我看书上是用 polyfit 和 regress 。 下面是regress的help说明，但里面却只是显示了 R 和F 统计量，那么 t 统计量如何显示，请高人指点，谢谢了！

 REGRESS Multiple linear regression using least squares.
    b = REGRESS(y,X) returns the vector of regression coefficients, b,
    in the linear model  y = Xb, (X is an nxp matrix, y is the nx1
    vector of observations).
 
    [B,BINT,R,RINT,STATS] = REGRESS(y,X,alpha) uses the input, ALPHA
    to calculate 100(1 - ALPHA) confidence intervals for B and the
    residual vector, R, in BINT and RINT respectively.  The vector
    STATS contains the R-square statistic along with the F and p
    values for the regression.
 
    The X matrix should include a column of ones so that the model
    contains a constant term.  The F and p values are computed under
    the assumption that the model contains a constant term, and they
    are not correct for models without a constant.  The R-square
    value is the ratio of the regression sum of squares to the
    total sum of squares.

[此贴子已经被作者于2008-4-30 4:57:44编辑过]