Each row of Y and X is an observation and each column a variable.
The return values beta, v, and r are defined as follows.
s^2.
r = y - x *
beta.
Each row of y and x is an observation and each column a variable.
The return values beta, sigma, and r are defined as follows.
beta = pinv (x) *
y, where pinv (x) denotes the pseudoinverse of
x.
sigma = (y-x*beta)' * (y-x*beta) / (t-rank(x))
r = y - x * beta.
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