air: Air quality data
In FRegSigCom: Functional Regression using Signal Compression Approach

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Data collected hourly in 355 days (days with missing values removed) in a significantly polluted area within an Italian city.

1	data("air")

A list of 7 matrices with 355 rows and 24 columns:

NO2: Hourly observation of concentration level of NO2 in 355 days
CO: Hourly observation of concentration level of CO in 355 days
NMHC: Hourly observation of concentration level of NMHC in 355 days
NOx: Hourly observation of concentration level of NOx in 355 days
C6H6: Hourly observation of concentration level of C6H6 in 355 days
temperature: Hourly observation of concentration level of temperature in 355 days
humidity: Hourly observation of concentration level of humidity in 355 days

Data link

De Vito, S. etal (2008) Sensors and Actuators B: Chemical, 129: 50-757.

Xin Qi and Ruiyan Luo. (Accepted) Nonlinear function on function additive model with multiple predictor curves. Stistica Sinica.

cv.nonlinear

1 2	data(air) str(air)

List of 7
 $ NO2        : num [1:355, 1:24] 7.2 7.23 7.34 7.38 7.34 ...
 $ CO         : num [1:355, 1:24] 7.08 6.98 7.15 7.34 7.12 ...
 $ NMHC       : num [1:355, 1:24] 6.54 6.69 6.87 6.92 6.77 ...
 $ NOx        : num [1:355, 1:24] 7.29 7.13 6.87 6.79 6.89 ...
 $ C6H6       : num [1:355, 1:24] 6.6 6.7 7.16 7.34 7.13 ...
 $ temperature: num [1:355, 1:24] 11.3 8.3 9.5 13.9 14.8 14.1 15.5 14.8 12 13.8 ...
 $ humidity   : num [1:355, 1:24] 56.8 58.5 64.1 53.6 54.7 65.7 52.9 53.9 69.7 57.9 ...