projector

Computes the orthogonal projection matrix for the column space of a given matrix.

 array 

 algebra 

Data files and a few functions used in the book
'Linear Models and Regression with R: An Integrated Approach'
by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).

Kaushik Jana

lmreg

Data and Functions Used in Linear Models and Regression with R:
An Integrated Approach

Debasis Sengupta

Jinwen Qiu

projector function

<dl> <dt>M</dt>
<dd>A matrix for which the orthogonal projection matrix is to be computed.</dd> <dt>tol</dt>
<dd>A relative tolerance to detect zero singular values while computing generalized inverse, in case M is rank deficient (default = sqrt(.Machine$double.eps)).</dd></dl>

Arguments

Debasis Sengupta &lt;shairiksengupta@gmail.com&gt;, Jinwen Qiu &lt;qjwsnow_ctw@hotmail.com&gt;

Author

Orthogonal projector of a matrix — projector

<dl>

 <dt>M</dt>
<dd>A matrix for which the orthogonal projection matrix is to be computed.</dd>

 <dt>tol</dt>
<dd>A relative tolerance to detect zero singular values while computing generalized inverse, in case M is rank deficient (default = sqrt(.Machine$double.eps)).</dd>

</dl>

projector: Orthogonal projector of a matrix

Description

Usage

Value

Arguments

Author

References

Examples