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t. e. Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression; instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space.
List comprehension. A list comprehension is a syntactic construct available in some programming languages for creating a list based on existing lists. It follows the form of the mathematical set-builder notation ( set comprehension) as distinct from the use of map and filter functions.
PlusToken started in April 2018. [2] It offered monthly payments to users of its cryptocurrency wallet. [3] There was also a token called Plus associated with it. [4] The total amount of cryptocurrency taken by PlusToken was estimated to be worth (based on 2019 prices) between $2 and US$2.9 billion.
Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics
Donald Duck is the inspiration behind the University of Oregon’s mascot, though the official mascot is known as The Oregon Duck. In an informal deal, Disney allowed the university to use the ...
Michael J Fox backstage at Glastonbury (BBC) Fox jammed along with the band for a performance of their hit “Fix You.”. At one point during the song, Martin joined Fox and sang beside him. As ...
‘Jelly’s Last Jam’ Review: Pasadena Playhouse Production Brings a Too-Rarely Revived Classic Jazz Musical Back to Rousing Life
Partial least squares path modeling. The partial least squares path modeling or partial least squares structural equation modeling ( PLS-PM, PLS-SEM) [1] [2] [3] is a method for structural equation modeling that allows estimation of complex cause-effect relationships in path models with latent variables .