

   SSwwiissss FFeerrttiilliittyy aanndd SSoocciiooeeccoonnoommiicc IInnddiiccaattoorrss ((11888888)) DDaattaa

        data(swiss)

   FFoorrmmaatt::

        A data frame with 47 observations on 6 variables, each
        of which is in percent, i.e., in [0,100].

         [,1]      Fertility           Ig, ``common standardized fertility measure''

                        all following:      Proportion of popula-
             tion...
               [,2]     Agriculture         % involved in agricul-
         [,3]ture asExoacmciunpaattiioonn        % ``draftees'' receiving highest mark
                                       on army examination
         [,4]      Education           % education beyond primary school.
         [,5]      Catholic            % catholic (as opposed to "protestant").
         [,6]      Infant.Mortality    live births who live less than 1 year.

   DDeessccrriippttiioonn::

        (paraphrasing Mosteller and Tukey): Switzerland, in
        1888, was entering a  period known as the ``demographic
        transition''; i.e., its fertility was beginning to fall
        from the high level typical of underdeveloped coun-
        tries.

        The data collected are for 47 seven French-speaking
        ``provinces'' at about 1888.

        Here, all variables are scaled to [0,100], where in the
        original, all but `"Catholic"' were scaled to [0,1].

   SSoouurrccee::

        Project ``16P5'', pp.549-551 in
        Mosteller, F. and Tukey, J. W. (1977).  Data Analysis
        and Regression: A Second Course in Statistics, Addison-
        Wesley, Reading Mass.

        indicating Source as
        ``Data used by permission of Franice van de Walle.
        Office of Population Research, Princeton University,
        1976.
        Unpublished data assembled under NICHD contract number
        No 1-HD-O-2077.''

   EExxaammpplleess::

        data(swiss)
        pairs(swiss)
        summary(lm(Fertility ~ . , data = swiss))

