partial least squares

partial least squares: abbr. PLS

French\ \ des moindres carrés partiel

German\ \ partielle kleinste Quadrate; PLS

Dutch\ \ partieel kleinste kwadraten

Italian\ \ di minimi quadrati parziale

Spanish\ \ minimos cuadraticos parciales

Catalan\ \ PLS, mínims quadrats parcials

Portuguese\ \ mínimos quadrados parciais; PLS

Romanian\ \ -

Danish\ \ -

Norwegian\ \ -

Swedish\ \ partiell minsta-kvadrat

Greek\ \ μερικά ελάχιστα τετράγωνα

Finnish\ \ osittainen pienimmän neliösumman menetelmä

Hungarian\ \ -

Turkish\ \ kısmi en küçük kareler; PLS veya KEKK

Estonian\ \ -

Lithuanian\ \ dalinių mažiausiųjų kvadratų metodas

Slovenian\ \ -

Polish\ \ -

Russian\ \ частично наименьшие квадраты

Ukrainian\ \ -

Serbian\ \ парцијални најмањи квадрати

Icelandic\ \ hluta amk ferninga

Euskara\ \ partzialak gutxienez lauki

Farsi\ \ -

Persian-Farsi\ \ کمترین توانهای دوم جزئی

Arabic\ \ الربعات الصغرى الجزئية

Afrikaans\ \ parsiële kleinste kwadrate

Chinese\ \ -

Korean\ \ 편[부분]최소제곱

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Partial Least Squares — Dieser Artikel wurde auf der Qualitätssicherungsseite des Portals Mathematik eingetragen. Dies geschieht, um die Qualität der Artikel aus dem Themengebiet Mathematik auf ein akzeptables Niveau zu bringen. Bitte hilf mit, die Mängel dieses… … Deutsch Wikipedia
Partial least squares regression — In statistics, the method of partial least squares regression (PLS regression) bears some relation to principal component analysis; instead of finding the hyperplanes of minimum variance, it finds a linear model describing some predicted… … Wikipedia
Non-linear iterative partial least squares — In statistics, non linear iterative partial least squares (NIPALS) is an algorithm for computing the first few components in a principal component or partial least squares analysis. For very high dimensional datasets, such as those generated in… … Wikipedia
Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… … Wikipedia
Total least squares — The bivariate (Deming regression) case of Total Least Squares. The red lines show the error in both x and y. This is different from the traditional least squares method which measures error parallel to the y axis. The case shown, with deviations… … Wikipedia
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
Least Squares — Die Methode der kleinsten Quadrate (bezeichnender auch: der kleinsten Fehlerquadrate; englisch: Least Squares Method) ist das mathematische Standardverfahren zur Ausgleichungsrechnung. Es ist eine Wolke aus Datenpunkten gegeben, die physikalische … Deutsch Wikipedia
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… … Wikipedia
Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… … Wikipedia
Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… … Wikipedia

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