R help - Apr 2012 - In robust PCA methods, how to get variance explained?

For example,
PcaHubert,

how to get the variance explained which are similar to those concepts in
traditional PCA?

In traditional PCA, you have a bunch of eigenvalue lambdas...

and you sort the lambdas from the biggest to the smallest,

the lambda_i / (sum of all lambdas) is the variance explained by that
principal component...

how to obtain the equivalent concepts in PcaHubert?

Thanks a lot!

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Hi everyone, I am writing this to get  your help. I have a big data set and I
wanted to do multiple regression and repeat this process several timesfor
example (data)where y: dependent variables ; number of columns are 5, nrow =
1800y   temp, preci, growing season days, max temp, min temp region4   23     0 
127                             35           14         NORTH AMER10  35    21  
120                             32          17         NORTH AMER1   18     1   
90                               27            12        EUROPE...........
1) here I wanted to do linear regression (simple regression) using each
predictor (temp, preci, growing season days, max temp... etc), separatelyafter
that, I want to  second  quadratic regression using each predictor, and third -
polynomial (cubic)2) I wanted to compare the models (linear, quadratic and
cubic) and chose the best model 3) I wanted to do multiple regression using the
best model of each variable Further, I wanted to divide the data into groups by
region. and, then perform the above analysis for each group (by region)and, I
wanted to compare the residuals between the models where I have been using all
data set and the models by region
I was trying to do manually, but it is taking so much time. I think it is not
difficult and does not take time to write script in R.  I was trying to make
loop but I could not succeedI would be very grateful if you help me how I can
write script (loop function) and compute the analysis in R. Thanks for your
support.
Sincerely, 
Kristi GloverUniversity of Windsor, Windsor, Canada


 		 	   		  
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