357d2997d0adec34e18dafd46660bb57 *DESCRIPTION
ef66096ac09a0eae9dbd18405c6e806b *NAMESPACE
455925094d096548f907d7acc2cd8dc8 *R/RandomKNN.R
02a549ed778d119b1cbd45acade79793 *R/RandomKNN_regression.R
cff142ce1fb90f5eb9a9095e1078f646 *R/backward_selection.R
2345bad4a68c9c5802091ee65e6ac7c6 *R/fitted.R
b47c0e9cec7cddcf1be8b251bc60e3eb *R/internal_functions.R
46acc4f30c7ce8aa6c8c77b5e138eb2f *R/normalization.R
7fc29ff8f16370f5359de3d8a9368800 *R/plot.R
d8cbff9275ac98e3d6ae20fb5a6288c1 *R/print.R
cde2fe030114faf8722bf9e22d6cc582 *R/property.R
71440665022f767abdfc6363aa4a5218 *R/under_devlopment.R
b1659f9a6e7236eec1f6505b4f7795e0 *inst/doc/RandomKNN_Demo.Rnw
caf45b00f40c1a1df1289b59854f5b97 *inst/doc/RandomKNN_Demo.pdf
934cb1975e5d75274d6429ca454b4bfe *man/PRESS.Rd
6ea4d5d3aee17d748f97ac02c8b24fbb *man/be.Rd
967ec7ce320ff37542eed576af2c819b *man/bestset.Rd
b4d0905aacbbb09fb94a76ad2e3f63c8 *man/confusion.Rd
31fabca4e3026a0db9fa8cfb72d5aca5 *man/cv.coef.Rd
20beff7a03b2743882bab8fc3bca38a6 *man/eta.Rd
8519e3ea2c809b6995ba428bcfd61ccd *man/fitted.rknn.Rd
e223bfabe1c6737bf0fdba7d64bc66c8 *man/internal.Rd
bc5acd845d224a58a60959b587a616ad *man/lambda.Rd
da860f41b4f656d65575eabb4ed4854b *man/normalize.Rd
bcd1761b886b9b162964122717615f86 *man/package_summary.Rd
13022e63b55dd0fd61e8b9ea9a00fcb1 *man/plot.be.Rd
9bb643c24f4f4ecd3af28f4f3b222ff0 *man/plot.rknnSupport.Rd
58bd0939fa4434082f9c331bd2fefaf8 *man/predicted.Rd
c3a2523691599f7bcf64e16171f41e08 *man/print.rknn.Rd
44443bc0840f6b691eda74fda8c624f4 *man/print.rknnBe.Rd
cbc273ba14584f8842721085e021ccb7 *man/print.rknnSupport.Rd
121ef0ed3aa8253d3f969463c3ea682b *man/r.Rd
f9f8ba0e42db7b1a2d7a92c0f040697f *man/rknn.Rd
2c6e0e1ff3628616f965296f0e8364ba *man/rknnSupport.Rd
005a5006b2d3e6543e09d1629b6efbf7 *man/rsqp.Rd
72e2acfda3a8303b902412425f1f6a5e *man/varUsed.Rd
b1659f9a6e7236eec1f6505b4f7795e0 *vignettes/RandomKNN_Demo.Rnw
