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Statistical and analytical extensions for Kotlin
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package org.nield.kotlinstatistics
interface SimpleRegression {
val n: Long
val intercept: Double
val slope: Double
val sumSquaredErrors: Double
val totalSumSqaures: Double
val xSumSquares: Double
val sumOfCrossProducts: Double
val regressionSumSquares: Double
val meanSquareError: Double
val r: Double
val rSquare: Double
val intereptStdErr: Double
val slopeStdErr: Double
val slopeConfidenceInterval: Double
val significance: Double
fun predict(x: Double): Double
}
class ApacheSimpleRegression(val sr: org.apache.commons.math3.stat.regression.SimpleRegression): SimpleRegression {
override val n get() = sr.n
override val intercept get() = sr.intercept
override val slope get() = sr.slope
override val sumSquaredErrors get() = sr.sumSquaredErrors
override val totalSumSqaures get() = sr.totalSumSquares
override val xSumSquares get() = sr.xSumSquares
override val sumOfCrossProducts get() = sr.sumOfCrossProducts
override val regressionSumSquares get() = sr.regressionSumSquares
override val meanSquareError get() = sr.meanSquareError
override val r get() = sr.r
override val rSquare get() = sr.rSquare
override val intereptStdErr get() = sr.interceptStdErr
override val slopeStdErr get() = sr.slopeStdErr
override val slopeConfidenceInterval get() = sr.slopeConfidenceInterval
override val significance get() = sr.significance
override fun predict(x: Double) = sr.predict(x)
}