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I'm trying to perform an MCA (Multiple Correspondence Analysis) on a large sample of individuals (>15 000) and 8 variables with R. When I perform that MCA using Factominer, my first dimension 1 inertia is 11 % and the second one is 10 %. Then I want to know how can I assess of the quality of an MCA. Do any of you has some test which can help to test the quality of my program ?

kjetil b halvorsen
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Dominique Beling Nkoumba
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    Please see comments to this recent question https://stats.stackexchange.com/q/535298/3277. Also, explore returns of the search for tag "correspondence-analysis" – ttnphns Jul 21 '21 at 11:06

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