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Name |
Description |
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Performs a one-way (single-factor) analysis of variance (ANOVA). | |
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Perform the one-way analysis of variance where Data vector (one variable) is indexed by a second grouping GroupIndex vector variable. | |
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Performs balanced two-way analysis of variance (ANOVA). | |
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Simple linear regression. | |
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Ordinal logistic regression. | |
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Logistic regression. | |
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Multivariante linear regression. | |
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Multivariante linear regression. | |
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Vectorized computation of the numerical derivative for the regress function. | |
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General non-linear regression. | |
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Non-linear regression with lower and upper bounds. | |
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General vectorized non-linear regression. | |
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Non-linear regression with lower and upper bounds. | |
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Numerical derivative for regress function. | |
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Principal Component Regression. | |
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Weighted PC regression. | |
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Poisson generalized linear model with log-link. | |
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Prediction error sum of squares (PRESS). | |
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R2 value. | |
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Regression tests. | |
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Regression tests. | |
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Optimal k value for ridge regression. | |
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Regression by using "ridge" regression method. | |
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Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables. |
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