# solve_svd: Pseudoinverse of a square matrix In metan: Multi Environment Trials Analysis

 solve_svd R Documentation

## Pseudoinverse of a square matrix

### Description

This function computes the Moore-Penrose pseudoinverse of a square matrix using singular value decomposition.

### Usage

solve_svd(x, tolerance = 2.220446e-16)


### Arguments

 x A square matrix tolerance The tolerance to consider an eigenvalue equals to zero.

### Value

A matrix with the same dimension of x.

### Author(s)

Tiago Olivoto, tiagoolivoto@gmail.com

### Examples


library(metan)
mat <- matrix(c(1, 4, 2, 8), ncol = 2)
det(mat)
solve_svd(mat)



metan documentation built on March 7, 2023, 5:34 p.m.