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PCA is a very powerful technique used to reduce the dimensionality of a data set consisting of a large number of interrelated variables while retaining as much as possible the variability presented in a data set (Zhang et al. 2009).

Factor analysis, which includes principal component analysis (PCA) is a very powerful technique applied to reduce the dimensionality of a data set consisting of a large number of interrelated variables while remaining as much as possible the variability present in data set.

They involve many interrelated variables: things relating to climate change or international trade, for example.

There are thousands of complex, interrelated variables involved in the process.  .

The compartmentalization, or cognitive apartheid, of controversial science concepts is contingent upon several dynamic, interrelated variables.

First, writing teachers need to bear in mind the complex interrelated variables that underlie successful writing in an academic setting.

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The GLM-MANOVA approach is used to test the hypothesis of a significant association between a set of interrelated dependent variables (HR-QoL scales) and independent variables.

First, we had chosen just one functional out-come variable (heel raise index), and correlated that to three interrelated biomechanical variables.

Given the stochastic nature of renewable sources and loads, this schedule has to be framed as a stochastic optimization problem with interrelated decision variables.

The capture efficiency of this process depends on many interrelated design variables and constraints such as magnetic pole array pitch, chamber height, and flow rate.

Strong points of our program are: we study several interrelated dependent variables, in different ordinary settings (as opposed to experimental or extreme settings), focusing on different target groups, using appropriate multilevel methods.

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