The Moore-Penrose inverse is a generalization of the regular inverse of a square, non-singular, symmetric matrix to other cases (rectangular, singular), yet retain similar properties to a regular inverse.

MoorePenrose(X, tol = sqrt(.Machine$double.eps))

Arguments

X

A numeric matrix

tol

Tolerance for a singular (rank-deficient) matrix

Value

The Moore-Penrose inverse of X

Examples

X <- matrix(rnorm(20), ncol=2)
# introduce a linear dependency in X[,3]
X <- cbind(X, 1.5*X[, 1] - pi*X[, 2])

Y <- MoorePenrose(X)
# demonstrate some properties of the M-P inverse
# X Y X = X
round(X %*% Y %*% X - X, 8)
#>       [,1] [,2] [,3]
#>  [1,]    0    0    0
#>  [2,]    0    0    0
#>  [3,]    0    0    0
#>  [4,]    0    0    0
#>  [5,]    0    0    0
#>  [6,]    0    0    0
#>  [7,]    0    0    0
#>  [8,]    0    0    0
#>  [9,]    0    0    0
#> [10,]    0    0    0
# Y X Y = Y
round(Y %*% X %*% Y - Y, 8)
#>      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,]    0    0    0    0    0    0    0    0    0     0
#> [2,]    0    0    0    0    0    0    0    0    0     0
#> [3,]    0    0    0    0    0    0    0    0    0     0
# X Y = t(X Y)
round(X %*% Y - t(X %*% Y), 8)
#>       [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#>  [1,]    0    0    0    0    0    0    0    0    0     0
#>  [2,]    0    0    0    0    0    0    0    0    0     0
#>  [3,]    0    0    0    0    0    0    0    0    0     0
#>  [4,]    0    0    0    0    0    0    0    0    0     0
#>  [5,]    0    0    0    0    0    0    0    0    0     0
#>  [6,]    0    0    0    0    0    0    0    0    0     0
#>  [7,]    0    0    0    0    0    0    0    0    0     0
#>  [8,]    0    0    0    0    0    0    0    0    0     0
#>  [9,]    0    0    0    0    0    0    0    0    0     0
#> [10,]    0    0    0    0    0    0    0    0    0     0
# Y X = t(Y X)
round(Y %*% X - t(Y %*% X), 8)
#>      [,1] [,2] [,3]
#> [1,]    0    0    0
#> [2,]    0    0    0
#> [3,]    0    0    0