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The cloud of points may thus be rotated around their centroid (the mean of axis scores), allowing one to align maximum linear variance in the ordination with an axis for further consideration – a process known as varimax rotation.
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We shall refer to the approximated variance reduction as the linear variance reduction (LVR).
Maximum linear distance of these homing forays was 600 m.
The first PCA score attains the maximum variance among the linear combination of the three scales.
Exact experimental designs are presented that minimize the maximum variance of the best linear unbiased estimator of a quadratic regression function on an interval.
Saxena et al. [11] presented a framework based on principal component analysis and maximum variance unfolding for reducing linear or nonlinear objectives.
PLS-DA used partial least squares regression models for classification and it bears some relation to PCA; Instead of finding the hyper planes of maximum variance, it finds a linear model describing some predicted variables (e.g. the behavior of smokers) in terms of observable variables (e.g. detected metabolites concentrations).
Used to find the vector in X that explains the maximum variance in Y in linear regression methods.
This region accounted for a maximum trait variance of 45.9%.
I calculated the relative variance as the partial variance for a given term divided by the maximum partial variance value in the model.
To do so, PCA considers the maximum variance in the dataset, whereas MAD considers maximum autocorrelation, since it takes into account the maximum variance of the difference images.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com