export(cv.liso, plotCV, liso.covweights,liso.maxlamb, liso.backfit, multistep,seq.log, liso)

"binomial", "coef", "complete.cases", "contrasts<-", "cov",
"dbinom", "dcauchy", "dnorm", "dt", "gaussian", "glm",
"model.weights", "na.omit", "nls", "nls.control", "offset",
"optim", "pchisq", "pnorm", "predict", "qnorm", "qt",
"quantile", "relevel", "residuals", "sd", "t.test", "terms",

importFrom(grid, grid.newpage, grid.layout, pushViewport, viewport)

##   only export one small helper (by request)

importFrom("graphics", "legend", "matplot", "plot", "text")
"na.pass", "pnorm", "printCoefmat", "resid", "var", "vcov")

importFrom( stats, as.formula, model.frame, delete.response, model.response, model.matrix )

importFrom( ggplot2, ggplot, geom_line, geom_point, theme_minimal,

importFrom(plyr, rbind.fill, arrange, ddply, .)
importFrom(stats, aggregate, as.formula, predict, setNames, reshape)

importFrom("stats", "aggregate", "as.formula", "predict", "setNames")

importFrom(stats, aggregate, as.formula, predict, setNames)

"contrasts<-", "deviance", "df", "df.residual", "dnorm",
"formula", "lm", "lm.fit", "model.extract", "model.matrix",
importFrom("stats", "anova", "fitted", "vcov", "window")
GCA, VEi, SP, RGCA, tSCA, SCA, SCA.G3, SCA.GE, RSCA,
REC, REC.G3, H.BAR, MDD, Hi, GCAC, DD, expand.diallel,

importFrom("stats", ".getXlevels", "as.formula", "coef", "contr.sum",
"proj", "pt", "quantile", "residuals", "symnum", "terms",

useDynLib("lmSubsets", .registration = TRUE, .fixes = "C_")

importFrom(car, Anova, avPlots, crPlots, hccm, ncvTest, qqPlot, spreadLevelPlot)

importFrom(car, Anova, avPlots, boxCox, crPlots, hccm, ncvTest, qqPlot, spreadLevelPlot)

importFrom(graphics, abline, axis, hist, identify, layout, layout.show, lines, mtext,
par, plot, points, polygon, rug, segments, stripchart, text)
importFrom(stats, AIC, BIC, IQR, as.formula, coef,
dfbetas, dnorm, fitted.values, hatvalues, logLik,
median, model.matrix, nobs, pchisq, pf, predict,
printCoefmat, pt, qf, qt, residuals, rstudent,

importFrom(graphics, abline, hist, identify, lines, par,