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Unlike the standard multiple regression which builds a regression model between the original data X and Y, PLS seeks to build a regression model between the latent component scores of X and those of Y. Unlike PCA which chooses the PCs so that only the variability within X is best described, PLS chooses the latent components so that covariance between X and the response Y is best described.
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Adaptive-No-Cache: Applies adaptive model approach to build a regression model for each individual query.
We harness Gaussian Processes to build a regression model to capture the periodic trends in those profiles.
Cao and Lin [9] have built a regression model to explore the suitable metro length for cities with different social economy factors, based on data from 121 cities around the world.
A single manual measurement by a quantum sensor at a point on the canopy was performed to build a regression model that estimated the PPFD on leaves from the pixel values of the image.
For one of the tissues, namely pancreas, only 3 compounds in the dataset have a known log Kt:p value, and so no attempt was made to build a regression model predicting pancreas log Kt:p values from so few compounds.
Our statistics professors will either be happy or horrified that we have built a regression model (see data set below) on how movies have impacted wedding trends using box office numbers as our x variable and Google search volume with the keyword "movie + wedding" as a proxy for wedding impact.
Thus, we built a regression model to predict the PROCAM score based on routine data.
Next, we build a regression model that predicts the response of a cell line to a drug or drug combination i.
The independent variables with a p-value less than 0.1 were selected to build a regression model for predicting the number of rabid raccoons.
Using 2/3 of the TCGA Affymetrix data (n = 366) as a training partition, we built a regression model for each gene in the predictable set.
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