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We derive a reduced order model by projecting the governing partial differential equations along the linear modal basis of the Timoshenko beam.
PLS makes a linear model by projecting the input and output variables onto a new space [ 12, 13].
PLS Discriminant Analysis is used to find a linear regression model by projecting the dependent features and the independent features to a new space.
Partial least-squares discriminant analysis (PLS-DA) finds a linear regression model by projecting the predicted variables and the observable variables to a new space.
Partial least-squares (PLS) regression is a statistical method that develops a linear regression model by projecting the predicted variable (% parasitemia) and the observable variable (spectra) onto a new multidimensional space.
Instead of finding hyperplane of maximum variance between the input and response variables, it finds a linear regression model by projecting both variables to a new space (Boulesteix and Strimmer, 2007; Fornell and Bookstein, 1982; Lê Cao et al., 2008; Liu and Rayens, 2007; Tenenhaus et al., 2005).
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Prescott and Draper (2004, 2008) discussed the construction of designs for component-amount models by projecting standard symmetric mixture designs (simplex-lattice and simplex-centroid designs) in lower dimensions.
Finally, the time course of treatment of each individual will be modeled by projecting the outcome measures on orthogonal linear, and quadratic of time.
Karhunen Loeve (Galerkin) projection to develop a reduced-order model obtained by projecting the velocity field onto the most important POD modes.
For further efficiency, TPWL has to accompany a space-reducing scheme, which is used for reducing the number of model unknowns by projecting it into a lower space.
A customised implant model was designed by projecting a mirror image of the healthy mandible on to the three-dimensional model.
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