Principal component analysis for mixed (quantitative and qualitative) data

While PCA is used to explore the relation between several quantitative variables, MCA (Multiple Correspondance Analysis) is used to explore the relation between several categorical variables. Some methods (PCAmix method for exemple) can deal with a mix of quantitative and categorical variables and allow to explore links between observations and variables.

  • Amaury LABENNE
  • Jul 25 2016
  • Shipped
  • Attach files
  • fateme Aghamir commented
    10 Nov, 2020 11:35am

    I download the Xlstat in my Exels but I dont Have any PCAmix in may alnalyses tap. please help me

  • +1