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

I used x10.homals4$objscores[, 1] as a predictor for logistic regression 
as in the same way as PC1 in PCA. 
Am I going the right way?

Hi Kohkichi,

Yes, but maybe explore the "sets=" argument (set "Response" as the target
variable and the others as the predictor variables). Then use Dim1 scores.
Also think about fitting a rank-1 restricted model, combined with the sets=
option.

See the vignette to the package and look at

@ARTICLE{MIC98,
  author = {Michailides, G. and de Leeuw, J.},
  title = {The {G}ifi system of descriptive multivariate analysis},
  journal = {Statistical Science},
  year = {1998},
  volume = {13},
  pages = {307--336},
  abstract = {}
}

Regards, Mark.

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