Last data update: 2014.03.03
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R: Recursive Least Squares
lm.fit.recursive | R Documentation |
Recursive Least Squares
Description
This function fits a linear model by recursive least squares. It is
a utility routine for the khmaladzize function of the quantile regression
package.
Usage
lm.fit.recursive(X, y, int=TRUE)
Arguments
X |
Design Matrix
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y |
Response Variable
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int |
if TRUE then append intercept to X
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Value
return p by n matrix of fitted parameters, where p. The
ith column gives the solution up to "time" i.
Author(s)
R. Koenker
References
A. Harvey, (1993) Time Series Models, MIT
See Also
khmaladzize
Results
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