还有，这个判断标准“100”到底是什么定义。
下面是其描述----------Description----------

The condition number of a regular (square) matrix is the product of the norm of the matrix and the norm of its inverse (or pseudo-inverse), and hence depends on the kind of matrix-norm.
定期（平方米）矩阵的条件数是矩阵和其逆（或伪逆），规范的标准的产品，因此对矩阵范数的一种依赖。

kappa() computes by default (an estimate of) the 2-norm condition number of a matrix or of the R matrix of a QR decomposition, perhaps of a linear fit.  The 2-norm condition number can be shown to be the ratio of the largest to the smallest non-zero singular value of the matrix.
kappa()计算（估计）默认情况下，2  - 范数的条件数矩阵或R分解矩阵QR线性拟合，或许。 2规范的条件数可以被证明是最大的比例最小的非零矩阵的奇异值。