projector: Orthogonal projector of a matrix
In lmreg: Data and Functions Used in Linear Models and Regression with R: An Integrated Approach
projector R Documentation
Orthogonal projector of a matrix
Description
Computes the orthogonal projection matrix for the column space of a given matrix.
Usage
projector(M, tol=sqrt(.Machine$double.eps))
Arguments
M
A matrix for which the orthogonal projection matrix is to be computed.
tol
A relative tolerance to detect zero singular values while computing generalized inverse, in case M is rank deficient (default = sqrt(.Machine$double.eps)).
Value
Returns the orthogonal projection matrix for the column space of M.
Author(s)
Debasis Sengupta <shairiksengupta@gmail.com>, Jinwen Qiu <qjwsnow_ctw@hotmail.com>
References
Sengupta and Jammalamadaka (2019), Linear Models and Regression with R: An Integrated Approach.
Examples
projector(matrix(3,3,3))
lmreg documentation built on Nov. 5, 2025, 5:58 p.m.
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| projector | R Documentation |
Orthogonal projector of a matrix
Description
Computes the orthogonal projection matrix for the column space of a given matrix.
Usage
projector(M, tol=sqrt(.Machine$double.eps))
Arguments
M |
A matrix for which the orthogonal projection matrix is to be computed. |
tol |
A relative tolerance to detect zero singular values while computing generalized inverse, in case M is rank deficient (default = sqrt(.Machine$double.eps)). |
Value
Returns the orthogonal projection matrix for the column space of M.
Author(s)
Debasis Sengupta <shairiksengupta@gmail.com>, Jinwen Qiu <qjwsnow_ctw@hotmail.com>
References
Sengupta and Jammalamadaka (2019), Linear Models and Regression with R: An Integrated Approach.
Examples
projector(matrix(3,3,3))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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