carsmissing: carsmissing data set
In plsdepot: Partial Least Squares (PLS) Data Analysis Methods
carsmissing R Documentation
carsmissing data set
Description
Data set with six variables measured on 24 cars
Usage
data(carsmissing)
Format
A data frame with 6 variables measured on the 24 cars (contains missing values).
Num Variable Description
1 Cylindree Engine
2 Puissance Power
3 Vitese Speed
4 Poids Weight
5 Longueur Length
6 Largeur Height
Details
This is data contains one missing value in each row
Source
Tenenhaus M. (1998) La Regression PLS: theorie et pratique. Table 5, page 69
References
Tenenhaus M. (1998) La Regression PLS: theorie et pratique Paris: Editions Technip
Examples
data(carsmissing)
head(carsmissing)
plsdepot documentation built on April 1, 2023, 12:04 a.m.
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| carsmissing | R Documentation |
carsmissing data set
Description
Data set with six variables measured on 24 cars
Usage
data(carsmissing)
Format
A data frame with 6 variables measured on the 24 cars (contains missing values).
| Num | Variable | Description |
| 1 | Cylindree | Engine |
| 2 | Puissance | Power |
| 3 | Vitese | Speed |
| 4 | Poids | Weight |
| 5 | Longueur | Length |
| 6 | Largeur | Height |
Details
This is data contains one missing value in each row
Source
Tenenhaus M. (1998) La Regression PLS: theorie et pratique. Table 5, page 69
References
Tenenhaus M. (1998) La Regression PLS: theorie et pratique Paris: Editions Technip
Examples
data(carsmissing)
head(carsmissing)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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