The phrase "a group of variables" is correct and usable in written English.
It can be used in contexts such as statistics, programming, or research when referring to multiple variables that are being considered together.
Example: "In our analysis, we examined a group of variables that influence consumer behavior."
Alternatives: "a set of variables" or "a collection of variables".
The EOF is designed to derive the dominant variability patterns from sets of fields of any type, synthetic indicators or indexes, and summarize the variability observed in a group of variables.
The EOF is designed to obtain the dominant variability patterns from sets of fields of any type, synthetic indicators or indexes, and summarise the variability observed in a group of variables.
The Gaussian graphical model has been a popular tool in statistics to model the dependence or the causality among a group of variables.
The contribution of this paper is the calculation of the directional marginal rates of a group of variables to another group.
Stepwise regression analysis of a group of variables revealed that plasma vaccenic acid accounted for 95% of the variation in milk RA production.
The problem can be simplified by replacing a group of variables with a single new variable.
This is a group of variable geometry, composed of strong individuals with strong opinions, which very often are completely different to one another, to the extent that they are often in total opposition.
Redundancy analyses were used to suggest which variables among a group of similar variables can be predicted from the remaining variables.
Such models are considered whenever several response variables can be measured for each setting of a group of control variables, and the response variables are adequately represented by GLMs.
PCA condenses in a few principal components (usually two; PC1 and PC2) an initial set of data that can contain quantitative variables, into a group of fewer variables resulting in a linear combination of the originals.
However, the LASSO penalty tends to select only one variable from a group of correlated variables and could therefore prune markers that carry additional information if they are in high LD with markers already included in the solution.
