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# REDIRECT Relaxed code-excited linear prediction
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# and REDIRECT
# and Relaxed
# and code-excited
# and linear
# As exploratory data analysis, an ANOVA is an organization of an additive data decomposition, and its sums of squares indicate the variance of each component of the decomposition ( or, equivalently, each set of terms of a linear model ).
# Closely related to the ANOVA is a linear model fit with coefficient estimates and standard errors.
# Canonical correlation analysis finds linear relationships among two sets of variables ; it is the generalised ( i. e. canonical ) version of bivariate correlation.
# Linear discriminant analysis ( LDA ) computes a linear predictor from two sets of normally distributed data to allow for classification of new observations.
# Janez Strnad, Premo centralno gibanje J. Vege ( J. Vega's linear central motion ), ( Obzornik mat, fiz.
# Any sequence satisfying the recurrence relation can be written uniquely as a linear combination of solutions constructed in part 1 as λ varies over all distinct roots of p ( t ).
# Write a < sub > n </ sub > as a linear combination of all the roots ( counting multiplicity as shown in the theorem above ) with unknown coefficients b < sub > i </ sub >.
# For technical reasons, the category Ban < sub > 1 </ sub > of Banach spaces and linear contractions is often equipped not with the " obvious " forgetful functor but the functor U < sub > 1 </ sub >: Ban < sub > 1 </ sub > → Set which maps a Banach space to its ( closed ) unit ball.
# A reduced geometry model allowing 0d, 1d and 2d linear geometric objects ( all based on linear interpolation ) and the corresponding aggregate geometries ( gml: MultiPoint, gml: MultiCurve, etc.
For n > 1, the only n-linear map which is also a linear map is the zero function, see bilinear map # Examples.
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