Multi-output regression: Classical datasets with more target variables than feature variables?

I'm interested to do some experimental validation of a machine learning model designed to approximate functions $f:\mathbb{R}^n\to \mathbb{R}^N$ where $N \geq n$. Are there any classical datasets which can be used:

• For the purpose of regression
• Only numerical (integer or float columns)

Thanks!