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PlsRegressionResult

fdars_core::scalar_on_function

Struct PlsRegressionResult 

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#[non_exhaustive]
pub struct PlsRegressionResult {
Show 13 fields
    pub intercept: f64,
    pub beta_t: Vec<f64>,
    pub gamma: Vec<f64>,
    pub fitted_values: Vec<f64>,
    pub residuals: Vec<f64>,
    pub r_squared: f64,
    pub r_squared_adj: f64,
    pub ncomp: usize,
    pub pls: PlsResult,
    pub coefficients: Vec<f64>,
    pub residual_se: f64,
    pub aic: f64,
    pub bic: f64,

}
Expand description

Result of PLS-based scalar-on-function regression.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§intercept: f64

Intercept α

§beta_t: Vec<f64>

Functional coefficient β(t), evaluated on the original grid (length m)

§gamma: Vec<f64>

Scalar coefficients γ (one per scalar covariate)

§fitted_values: Vec<f64>

Fitted values ŷ (length n)

§residuals: Vec<f64>

Residuals y - ŷ (length n)

§r_squared: f64

R² statistic

§r_squared_adj: f64

Adjusted R²

§ncomp: usize

Number of PLS components used

§pls: PlsResult

PLS result (for projecting new data)

§coefficients: Vec<f64>

Regression coefficients on (intercept, PLS scores, scalar covariates)

§residual_se: f64

Residual standard error

§aic: f64

Akaike Information Criterion

§bic: f64

Bayesian Information Criterion

Trait Implementations§

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impl Clone for PlsRegressionResult

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fn clone(&self) -> PlsRegressionResult

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PlsRegressionResult

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl From<&PlsRegressionResult> for RegressionLayer

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fn from(fit: &PlsRegressionResult) -> Self

Converts to this type from the input type.
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impl PartialEq for PlsRegressionResult

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fn eq(&self, other: &PlsRegressionResult) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for PlsRegressionResult

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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