How to use PC1 of PCA and dim1 of MCA as a predictor in logistic regression model for data reduction

1. Is it O.K. to perform PCA for data consisting of 1 continuous 
variable and 8 binary variables? 
2. Is it O.K to perform transformation of age from continuous variable 
to factor variable for MCA? 
3. Is "mjca1$rowcoord[, 1]" the correct values as a predictor of 
logistic regression model like PC1 of PCA?

Hi Kohkichi,

If you want to do this, i.e. PCA-type analysis with different
variable-types, then look at dudi.mix() in package ade4 and homals() in
package homals.

Regards, Mark.

-----
Mark Difford (Ph.D.)
Research Associate
Botany Department
Nelson Mandela Metropolitan University
Port Elizabeth, South Africa
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