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fact >> (X1-X2…Xk) Multi-way analysis > comdim

comdim

common components and specific weights analysis, algorithmm different from ccswa

Calling sequence

result= comdim(col,lv,(threshold));

Arguments

col:

a vector (ntab x 1) of Div structures containing each a table;

all the tables have the same number of observations n

the table i has pi variables

lv:

number of components; dimension max. of the model

(threshold):

threshold for the convergence; default=10^(-10)

result.scores:

scores of the observations on the common componants

result.scores.d is a matrix of dimensions (n x lv)

result.weights:

weight of each table according to the number of components

result.weights.d is a vector of dimensions (ntab x lv)

result.scores_tables:

scores of each table

result.scores_tables.d is a vector of dimensions (lv x 1)

Examples

[res]=comdim(col,10)

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