gsorth

if specified, a permutation of the column indices of <code>y</code>

order

logical; if <code>TRUE</code>, the result has same means as the original <code>y</code>, else means = 0 for cols 2:p

recenter

logical; if <code>TRUE</code>, the result has same sd as original, else, sd = residual sd

rescale

logical; if <code>TRUE</code>, colnames are adjusted to Y1, Y2.1, Y3.12, ...

adjnames

Calculates a matrix with uncorrelated columns using the Gram-Schmidt process

A collection of matrix functions for teaching and learning matrix
    linear algebra as used in multivariate statistical methods. These functions are
    mainly for tutorial purposes in learning matrix algebra ideas using R. In some
    cases, functions are provided for concepts available elsewhere in R, but where
    the function call or name is not obvious. In other cases, functions are provided
    to show or demonstrate an algorithm.

gsorth: Gram-Schmidt Orthogonalization of a Matrix

Description

Usage

Arguments

Value