stainless: stainless

CRAN
nsm3data: Datasets to Accompany Hollander, Wolfe, and Chicken NSM3

R: stainless
stainlessR Documentation
stainless

stainless: stainless

GITHUB
kim3-sudo/nsm3data: Datasets to Accompany Hollander, Wolfe, and Chicken NSM3

in the Stainless Steel Samples
Usage
stainless

steel: steel

GITHUB
qPharmetra/qpToolkit: qPharmetra R Tools

R: steel
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

steel: steel

GITHUB
regbook/regbook: Regression Book

R: steel
steelR Documentation
steel

steel: steel

GITHUB
ssustat/regbook: Regression Book

R: steel
steelR Documentation
steel

Steel: Hardened Steel

CRAN
glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

R: Hardened Steel
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Steel: Hardened Steel

CRAN
ssym: Fitting Semi-Parametric log-Symmetric Regression Models

R: Hardened Steel
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

steel: Waste in steel rolling

GITHUB
SC19017016/SC19017016: The solution of simple problems in mathematical modeling

of instrument
Value
The mean of finished rolled steel should be set l

steel: Steel Column Function

CRAN
gek: Gradient-Enhanced Kriging

R: Steel Column Function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

steel: Waste in steel rolling

GITHUB
SC19016/SC19016: The solution of simple problems in mathematical modeling

of instrument
Value
The mean of finished rolled steel should be set l

steel: Steel-type multiple contrast tests

CRAN
rankFD: Rank-Based Tests for General Factorial Designs

R: Steel-type multiple contrast tests
steelR Documentation
Steel-type multiple contrast tests

WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN
WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

GITHUB
avery-kruger/kitchen: Convolutional Kitchen Sinks in R

Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R

wa: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB
villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution