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

[khosoda at med.kobe-u.ac.jp]

Dear Mark,

Thank you very much for your advice.
I will try it.

I really appreciate your all kind advice.
Thanks a lot again.

Best regards,

Kohkichi


(11/08/19 22:28), Mark Difford wrote:
> On Aug 19, 2011 khosoda wrote:
>
>> 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
> --
> View this message in context: http://r.789695.n4.nabble.com/How-to-use-PC1-of-PCA-and-dim1-of-MCA-as-a-predictor-in-logistic-regression-model-for-data-reduction-tp3750251p3755163.html
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>
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