# "X-Validation @ Vector Linear Regression?"

Hello together,

how can I do an X-Validation for the Vector Linear Regression with multiple labels?

I always get an error message when trying to implement an X-Validation. Without the validation, the operator works just fine.

Or is it not possible for multiple labels using this operator?

Thanks!

(PS: the data consists of polynomial & numeric attributes and a numeric set of labels)

how can I do an X-Validation for the Vector Linear Regression with multiple labels?

I always get an error message when trying to implement an X-Validation. Without the validation, the operator works just fine.

Or is it not possible for multiple labels using this operator?

Thanks!

(PS: the data consists of polynomial & numeric attributes and a numeric set of labels)

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## Answers

93Contributor II6Contributor IThe data consists of 33 Input Variables (partly polynomial and partly numeric) and a set of 32 labels (numeric; sound pressure levels measured for different frequencies). The data set describes (geometry) parameters of gears in a wind power plant and the noise generated by the plant. The aim is to find out which geometry parameters influence sound pressure level the most.

Unfortunately, I cannot provide actual data, since it's confidential.

Here's a link of a picture of the process i set up and the error discription:

http://cdn.imghack.se/images/cf513f000ff68b3497fd83a81112dc36.jpg

The exact same process worked for other operators such as "Linear Regression". This process also works for "Vector Linear Regression" if I do not use an X-Validation. So my question is whether X-Validation does maybe not work for "Vector Linear Regression" at all due to the set of labels maybe or sth?

(I've set the labels properly as "label", "label_1", "label_2" etc. using the "set role"-operator)

Thanks for your help!!!

6Contributor IWith a single label I do know how to do it and it works fine.

Thanks