NIR spectra of diesel fuels (Southwest Research Institute, SWRI)

784 spectra, 401 spectral variables (wavelengths 750-1550 nm, 2 nm step).

This is a multi-target dataset. Use the `target=` argument of
load_dataset()/open_dataset() to choose the y column(s), e.g.
    io.load_dataset('diesel_nir')                       # default -> CN
    io.load_dataset('diesel_nir', target='FREEZE')
    io.load_dataset('diesel_nir', target=['CN','FREEZE'])
    io.load_dataset('diesel_nir', target='all')
A single target returns a 1-D y; multiple targets return a 2-D y.
Samples whose selected target(s) were not measured (NaN) are dropped,
so the sample count depends on the chosen target(s).

Targets (all continuous regression properties):
    CN     - Cetane Number (default), n=381, range 36.9 ~ 61.3
    BP50   - Boiling point at 50% recovery, n=395, range 182 ~ 297
    D4052  - Density by ASTM D4052 (g/mL), n=395, range 0.78 ~ 0.87
    FLASH  - Flash point, n=395, range 23 ~ 96
    FREEZE - Freeze point, n=395, range -59.5 ~ 6.6
    TOTAL  - Total aromatics (%), n=395, range 8.3 ~ 47.2
    VISC   - Viscosity, n=395, range 1.12 ~ 4.05

Task: regression.

Source:

    https://eigenvector.com/resources/data-sets/
