BMconcor (version 2.0.0)

concoreg: Redundancy of sets yj by one set x

Description

Regression of several subsets of variables Yj by another set X. SUCCESSIVE SOLUTIONS

Usage

concoreg(x, y, py, r)

Value

A list with following components:

cx

a n times rmatrix of the r explanatory components

v

is a \(q \times r\) matrix of ky row blocks \(v_i\) (\(q_i \times r\)) of axes in Rqi relative to yi; \(v_i'*v_i = \mbox{Id}\)

V

is a \(q \times r\) matrix of axes in Rq relative to y; \(V'*V = \mbox{Id}\)

varexp

is a \(ky \times r\) matrix; each column k contains ky explained variances \(\rho(cx[,k],y_i*v_i[,k])^2 \mbox{var}(y_i*v_i[,k])\)

Arguments

x

are the n times p and n times q matrices of p and q centered column

y

See x

py

The partition vector of y. A row vector containing the numbers qi for i = 1,...,ky of the ky subsets yi of y : sum(qi)=sum(py)=q.

r

The number of wanted successive solutions

Author

Lafosse, R.

References

Lafosse R. & Hanafi M.(1997) Concordance d'un tableau avec K tableaux: Definition de K+1 uples synthetiques. Revue de Statistique Appliquee vol.45,n.4.

Chessel D. & Hanafi M. (1996) Analyses de la Co-inertie de K nuages de points. Revue de Statistique Appliquee vol.44, n.2. (this ACOM analysis of one multiset is obtained by the command : concoreg(Y,Y,py,r))

Examples

x <- matrix(runif(50),10,5);y <- matrix(runif(90),10,9)
x <- scale(x);y <- scale(y)
co <- concoreg(x,y,c(3,2,4),2)